{"id":7264,"date":"2026-08-31T15:21:51","date_gmt":"2026-08-31T07:21:51","guid":{"rendered":"https:\/\/nullthought.net\/?p=7264"},"modified":"2026-08-31T15:48:03","modified_gmt":"2026-08-31T07:48:03","slug":"%e8%ae%be%e5%a4%87%e6%95%85%e9%9a%9c%e8%af%86%e5%88%ab%e5%ba%94%e8%af%a5%e9%87%87%e7%94%a8%e4%bb%80%e4%b9%88ai%e6%a8%a1%e5%9e%8b%ef%bc%9f-%e4%bb%8e-lightgbm%e3%80%81cnn%e3%80%81lstm","status":"publish","type":"post","link":"https:\/\/nullthought.net\/?p=7264","title":{"rendered":"\u8bbe\u5907\u6545\u969c\u8bc6\u522b\u5e94\u8be5\u91c7\u7528\u4ec0\u4e48AI\u6a21\u578b\uff1f\u2014\u2014\u4ece LightGBM\u3001CNN\u3001LSTM \u5230 Transformer \u7684\u6280\u672f\u7efc\u8ff0"},"content":{"rendered":"\n

\u5de5\u4e1a\u8bbe\u5907\u6b63\u5728\u5feb\u901f\u8fdb\u5165\u201c\u6570\u636e\u9a71\u52a8\u8fd0\u7ef4\u201d\u9636\u6bb5\u3002\u632f\u52a8\u3001\u7535\u6d41\u3001\u6e29\u5ea6\u3001\u538b\u529b\u3001\u8f6c\u901f\u3001\u58f0\u97f3\u3001\u4f4d\u79fb\u7b49\u8fd0\u884c\u6570\u636e\u53ef\u4ee5\u88ab\u6301\u7eed\u91c7\u96c6\uff0c\u8bbe\u5907\u6545\u969c\u8bc6\u522b\u4e5f\u7531\u8fc7\u53bb\u4e3b\u8981\u4f9d\u8d56\u9608\u503c\u5224\u65ad\u3001\u9891\u8c31\u5206\u6790\u548c\u4e13\u5bb6\u7ecf\u9a8c\uff0c\u9010\u6e10\u53d1\u5c55\u4e3a\u201c\u4fe1\u53f7\u5904\u7406 + AI\u6a21\u578b\u201d\u7684\u667a\u80fd\u8bca\u65ad\u65b9\u5f0f\u3002<\/p>\n\n\n\n

\u4f46\u5728\u5b9e\u9645\u9879\u76ee\u4e2d\uff0c\u4e00\u4e2a\u975e\u5e38\u73b0\u5b9e\u7684\u95ee\u9898\u662f\uff1a\u7a76\u7adf\u5e94\u8be5\u91c7\u7528\u4ec0\u4e48AI\u6a21\u578b\uff1f<\/strong><\/p>\n\n\n\n

LightGBM\u3001XGBoost\u3001CNN\u3001LSTM\u3001TCN\u3001Transformer\u3001Autoencoder\u7b49\u6a21\u578b\u90fd\u53ef\u4ee5\u7528\u4e8e\u8bbe\u5907\u6545\u969c\u8bc6\u522b\uff0c\u4f46\u5b83\u4eec\u89e3\u51b3\u95ee\u9898\u7684\u65b9\u5f0f\u5e76\u4e0d\u76f8\u540c\u3002\u5e76\u4e0d\u5b58\u5728\u4e00\u4e2a\u5728\u6240\u6709\u8bbe\u5907\u3001\u6240\u6709\u6570\u636e\u6761\u4ef6\u4e0b\u90fd\u6700\u4f18\u7684\u6a21\u578b\u3002\u771f\u6b63\u5408\u7406\u7684\u9009\u578b\uff0c\u9700\u8981\u540c\u65f6\u8003\u8651\u6570\u636e\u5f62\u6001\u3001\u6837\u672c\u89c4\u6a21\u3001\u6545\u969c\u7c7b\u578b\u3001\u5b9e\u65f6\u6027\u3001\u53ef\u89e3\u91ca\u6027\u4ee5\u53ca\u90e8\u7f72\u786c\u4ef6\u3002<\/p>\n\n\n\n

\"\"
\u8bbe\u5907\u6545\u969c\u8bc6\u522bAI\u6a21\u578b\u9009\u578b<\/figcaption><\/figure>\n\n\n\n
\n\n\n\n

\u4e00\u3001\u5148\u660e\u786e\uff1a\u6240\u8c13\u201c\u8bbe\u5907\u6545\u969c\u8bc6\u522b\u201d\uff0c\u5b9e\u9645\u4e0a\u5305\u542b\u51e0\u7c7b\u4e0d\u540c\u95ee\u9898<\/h2>\n\n\n\n

\u8bbe\u5907\u667a\u80fd\u8bca\u65ad\u9996\u5148\u53ef\u4ee5\u5206\u4e3a\u5f02\u5e38\u68c0\u6d4b<\/strong>\u548c\u6545\u969c\u5206\u7c7b<\/strong>\u3002<\/p>\n\n\n\n

\u5f02\u5e38\u68c0\u6d4b\u56de\u7b54\u7684\u662f\uff1a<\/p>\n\n\n\n

\n

\u8bbe\u5907\u73b0\u5728\u662f\u5426\u504f\u79bb\u6b63\u5e38\u8fd0\u884c\u72b6\u6001\uff1f<\/p>\n<\/blockquote>\n\n\n\n

\u8f93\u51fa\u901a\u5e38\u53ea\u6709\u201c\u6b63\u5e38\u201d\u548c\u201c\u5f02\u5e38\u201d\uff0c\u6216\u8005\u7ed9\u51fa\u4e00\u4e2a\u5f02\u5e38\u5206\u6570\u3002<\/p>\n\n\n\n

\u6545\u969c\u5206\u7c7b\u5219\u8fdb\u4e00\u6b65\u56de\u7b54\uff1a<\/p>\n\n\n\n

\n

\u5982\u679c\u8bbe\u5907\u5f02\u5e38\uff0c\u5230\u5e95\u662f\u54ea\u4e00\u79cd\u6545\u969c\uff1f<\/p>\n<\/blockquote>\n\n\n\n

\u4f8b\u5982\u65cb\u8f6c\u673a\u68b0\u53ef\u80fd\u9700\u8981\u8bc6\u522b\u6b63\u5e38\u3001\u4e0d\u5e73\u8861\u3001\u4e0d\u5bf9\u4e2d\u3001\u8f74\u627f\u635f\u4f24\u3001\u673a\u68b0\u677e\u52a8\u3001\u9f7f\u8f6e\u635f\u4f24\u7b49\u72b6\u6001\u3002<\/p>\n\n\n\n

\u518d\u5f80\u540e\uff0c\u8fd8\u53ef\u4ee5\u8fdb\u884c\u6545\u969c\u4e25\u91cd\u7a0b\u5ea6\u8bc6\u522b\u548c\u5269\u4f59\u5bff\u547d\u9884\u6d4b\uff0c\u4e5f\u5c31\u662f\u9884\u6d4b\u8bbe\u5907\u8fd8\u80fd\u8fd0\u884c\u591a\u957f\u65f6\u95f4\u3002<\/p>\n\n\n\n

\u56e0\u6b64\uff0c\u5728\u9009\u62e9AI\u6a21\u578b\u4e4b\u524d\uff0c\u9996\u5148\u5e94\u8be5\u660e\u786e\u4e00\u4e2a\u95ee\u9898\uff1a<\/p>\n\n\n\n

\u6a21\u578b\u7a76\u7adf\u662f\u5728\u53d1\u73b0\u5f02\u5e38\uff0c\u8fd8\u662f\u5728\u8bc6\u522b\u5df2\u7ecf\u77e5\u9053\u7684\u6545\u969c\u7c7b\u578b\uff1f<\/strong><\/p>\n\n\n\n

\u8fd9\u4f1a\u76f4\u63a5\u51b3\u5b9a\u6a21\u578b\u8def\u7ebf\u3002<\/p>\n\n\n\n

\n\n\n\n

\u4e8c\u3001LightGBM\uff1a\u5de5\u4e1a\u6545\u969c\u8bc6\u522b\u4e2d\u975e\u5e38\u91cd\u8981\u7684\u57fa\u7ebf\u6a21\u578b<\/h1>\n\n\n\n

\u5f88\u591a\u4eba\u4e00\u8c08\u5230AI\u6545\u969c\u8bca\u65ad\uff0c\u5c31\u4f1a\u9996\u5148\u60f3\u5230\u795e\u7ecf\u7f51\u7edc\u3002<\/p>\n\n\n\n

\u4f46\u5982\u679c\u8bbe\u5907\u5df2\u7ecf\u8fdb\u884c\u4e86\u6bd4\u8f83\u6210\u719f\u7684\u4fe1\u53f7\u5904\u7406\u548c\u7279\u5f81\u63d0\u53d6\uff0c\u90a3\u4e48\u5de5\u7a0b\u4e0a\u975e\u5e38\u503c\u5f97\u9996\u5148\u5c1d\u8bd5\u7684\u6a21\u578b\u5176\u5b9e\u662f\uff1a<\/p>\n\n\n\n

LightGBM\u3002<\/strong><\/p>\n\n\n\n

LightGBM\u5c5e\u4e8e\u68af\u5ea6\u63d0\u5347\u51b3\u7b56\u6811\u6a21\u578b\uff0c\u5b83\u7279\u522b\u64c5\u957f\u5904\u7406\u7ed3\u6784\u5316\u6570\u636e\u3002<\/p>\n\n\n\n

\u4f8b\u5982\uff0c\u4ece\u4e00\u6bb5\u632f\u52a8\u4fe1\u53f7\u4e2d\uff0c\u53ef\u4ee5\u8ba1\u7b97\u5747\u65b9\u6839\u3001\u5cf0\u503c\u3001\u5cf0\u5cf0\u503c\u3001\u5ced\u5ea6\u3001\u504f\u5ea6\u3001\u6ce2\u5cf0\u56e0\u5b50\u3001\u9891\u8c31\u5cf0\u503c\u548c\u4e0d\u540c\u9891\u5e26\u80fd\u91cf\uff1b\u4ece\u7535\u6d41\u4fe1\u53f7\u4e2d\u53ef\u4ee5\u8ba1\u7b97RMS\u3001\u6ce2\u52a8\u7387\u3001\u8c10\u6ce2\u80fd\u91cf\uff1b\u518d\u7ed3\u5408\u6e29\u5ea6\u3001\u538b\u529b\u3001\u8f6c\u901f\u548c\u8d1f\u8f7d\u7b49\u8fd0\u884c\u53c2\u6570\u3002<\/p>\n\n\n\n

\u6700\u7ec8\uff0c\u4e00\u6b21\u8bbe\u5907\u8fd0\u884c\u5468\u671f\u53ef\u80fd\u88ab\u8f6c\u6362\u4e3a\u51e0\u5341\u4e2a\u6216\u8005\u51e0\u767e\u4e2a\u7279\u5f81\uff0c\u4f8b\u5982\uff1ax<\/mi>=<\/mo>[<\/mo>x<\/mi>1<\/mn><\/msub>,<\/mo>x<\/mi>2<\/mn><\/msub>,<\/mo>x<\/mi>3<\/mn><\/msub>,<\/mo>\u2026<\/mo>,<\/mo>x<\/mi>100<\/mn><\/msub>]<\/mo><\/mrow>\\mathbf{x}=[x_1,x_2,x_3,\\ldots,x_{100}]<\/annotation><\/semantics><\/math><\/p>\n\n\n\n

\u8fd9\u91cc\u5e76\u4e0d\u662f\u8bf4\u6709100\u4e2a\u65f6\u95f4\u70b9\uff0c\u800c\u662f\u8868\u793a\u4e00\u6b21\u8bbe\u5907\u8fd0\u884c\u72b6\u6001\u7531100\u4e2a\u7279\u5f81\u5171\u540c\u63cf\u8ff0<\/strong>\u3002\u4f8b\u5982\u7b2c1\u4e2a\u7279\u5f81\u53ef\u80fd\u662f\u632f\u52a8RMS\uff0c\u7b2c2\u4e2a\u662f\u632f\u52a8\u5ced\u5ea6\uff0c\u7b2c3\u4e2a\u662f\u7535\u6d41RMS\uff0c\u7b2c100\u4e2a\u53ef\u80fd\u662f\u67d0\u4e2a\u9891\u5e26\u7684\u80fd\u91cf\u3002<\/p>\n\n\n\n

\u8fd9\u6837\u7684\u6570\u636e\u7ed3\u6784\u6b63\u662fLightGBM\u975e\u5e38\u64c5\u957f\u5904\u7406\u7684\u5f62\u5f0f\u3002<\/p>\n\n\n\n

LightGBM\u6700\u5927\u7684\u4f18\u52bf\u4e4b\u4e00\uff0c\u662f\u5bf9\u6837\u672c\u89c4\u6a21\u8981\u6c42\u76f8\u5bf9\u8f83\u4f4e<\/strong>\u3002\u5982\u679c\u53ea\u6709\u51e0\u767e\u5230\u51e0\u5343\u4e2a\u6807\u6ce8\u6837\u672c\uff0c\u5b83\u5f80\u5f80\u5df2\u7ecf\u53ef\u4ee5\u53d6\u5f97\u4e0d\u9519\u7684\u6548\u679c\uff0c\u800c\u5927\u578b\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u53ef\u80fd\u8fd8\u5904\u4e8e\u660e\u663e\u7684\u6570\u636e\u4e0d\u8db3\u72b6\u6001\u3002<\/p>\n\n\n\n

\u53e6\u5916\uff0cLightGBM\u8bad\u7ec3\u901f\u5ea6\u5feb\uff0c\u5bf9GPU\u6ca1\u6709\u5f3a\u4f9d\u8d56\uff0c\u800c\u4e14\u53ef\u89e3\u91ca\u6027\u8f83\u597d\u3002\u901a\u8fc7Feature Importance\u6216\u8005SHAP\uff0c\u53ef\u4ee5\u8fdb\u4e00\u6b65\u5206\u6790\uff1a<\/p>\n\n\n\n

\n

\u6a21\u578b\u4e3a\u4ec0\u4e48\u5224\u65ad\u8fd9\u6b21\u8fd0\u884c\u5b58\u5728\u6545\u969c\uff1f<\/p>\n<\/blockquote>\n\n\n\n

\u4f8b\u5982\u6a21\u578b\u53ef\u80fd\u53d1\u73b0\uff0c\u67d0\u7c7b\u6545\u969c\u4e3b\u8981\u4e0e\u8f74\u5411\u632f\u52a8RMS\u3001\u7279\u5b9a\u9891\u7387\u80fd\u91cf\u548c\u7535\u6d41\u6ce2\u52a8\u5e45\u5ea6\u6709\u5173\u3002<\/p>\n\n\n\n

\u8fd9\u5728\u5de5\u4e1a\u8bbe\u5907\u4e2d\u975e\u5e38\u91cd\u8981\uff0c\u56e0\u4e3a\u5de5\u7a0b\u4eba\u5458\u4e0d\u4ec5\u5e0c\u671b\u77e5\u9053\u201cAI\u8ba4\u4e3a\u8bbe\u5907\u574f\u4e86\u201d\uff0c\u8fd8\u5e0c\u671b\u77e5\u9053\u201c\u4e3a\u4ec0\u4e48\u8ba4\u4e3a\u5b83\u574f\u4e86\u201d\u3002<\/p>\n\n\n\n

LightGBM\u7684\u4e3b\u8981\u7f3a\u70b9\u540c\u6837\u660e\u663e\uff1a<\/p>\n\n\n\n

\u5b83\u4e0d\u4f1a\u81ea\u52a8\u7406\u89e3\u539f\u59cb\u6ce2\u5f62\u3002<\/strong><\/p>\n\n\n\n

\u5982\u679c\u76f4\u63a5\u628a\u6570\u5343\u751a\u81f3\u6570\u4e07\u4e2a\u632f\u52a8\u91c7\u6837\u70b9\u8f93\u5165LightGBM\uff0c\u6548\u679c\u901a\u5e38\u5e76\u4e0d\u7406\u60f3\u3002\u56e0\u6b64\u5b83\u5f80\u5f80\u4f9d\u8d56\u4f20\u7edf\u4fe1\u53f7\u5904\u7406\u3002<\/p>\n\n\n\n

\u5178\u578b\u67b6\u6784\u662f\uff1a<\/p>\n\n\n\n

\u4f20\u611f\u5668\u6570\u636e \u2192 \u4fe1\u53f7\u5904\u7406 \u2192 \u7279\u5f81\u63d0\u53d6 \u2192 LightGBM \u2192 \u6545\u969c\u7c7b\u522b<\/strong><\/p>\n\n\n\n

\u5bf9\u4e8e\u5927\u91cf\u4e2d\u5c0f\u578b\u5de5\u4e1aAI\u9879\u76ee\uff0c\u8fd9\u4ecd\u7136\u662f\u4e00\u6761\u975e\u5e38\u6210\u719f\u3001\u53ef\u9760\u7684\u6280\u672f\u8def\u7ebf\u3002<\/p>\n\n\n\n

\n\n\n\n

\u4e09\u3001CNN\uff1a\u539f\u59cb\u632f\u52a8\u3001\u7535\u6d41\u548c\u58f0\u97f3\u4fe1\u53f7\u7684\u4e3b\u529b\u6a21\u578b<\/h1>\n\n\n\n

\u5982\u679c\u5e0c\u671b\u51cf\u5c11\u4eba\u5de5\u7279\u5f81\u8bbe\u8ba1\uff0c\u8ba9AI\u76f4\u63a5\u4ece\u539f\u59cb\u4fe1\u53f7\u4e2d\u81ea\u52a8\u5b66\u4e60\u6545\u969c\u6a21\u5f0f\uff0c\u90a3\u4e48CNN\u662f\u975e\u5e38\u503c\u5f97\u4f18\u5148\u8003\u8651\u7684\u6a21\u578b\u3002<\/p>\n\n\n\n

\u8bbe\u5907\u6545\u969c\u8bca\u65ad\u4e2d\u6700\u5e38\u89c1\u7684\u662f\uff1a<\/p>\n\n\n\n

1D CNN\uff0c\u4e5f\u5c31\u662f\u4e00\u7ef4\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u3002<\/strong><\/p>\n\n\n\n

\u5047\u8bbe\u4e00\u6bb5\u632f\u52a8\u4fe1\u53f7\u5305\u542b5000\u4e2a\u91c7\u6837\u70b9\uff0c\u53ef\u4ee5\u8868\u793a\u4e3a\uff1ax<\/mi>=<\/mo>[<\/mo>x<\/mi>1<\/mn><\/msub>,<\/mo>x<\/mi>2<\/mn><\/msub>,<\/mo>\u2026<\/mo>,<\/mo>x<\/mi>5000<\/mn><\/msub>]<\/mo><\/mrow>\\mathbf{x}=[x_1,x_2,\\ldots,x_{5000}]<\/annotation><\/semantics><\/math><\/p>\n\n\n\n

\u8fd9\u91cc\u7684 x<\/mi>1<\/mn><\/msub><\/mrow>x_1<\/annotation><\/semantics><\/math> \u5230 x<\/mi>5000<\/mn><\/msub><\/mrow>x_{5000}<\/annotation><\/semantics><\/math> \u5206\u522b\u8868\u793a\u8fde\u7eed\u91c7\u96c6\u5230\u76845000\u4e2a\u632f\u52a8\u6d4b\u91cf\u503c\u3002<\/p>\n\n\n\n

CNN\u4f1a\u5229\u7528\u4e00\u4e2a\u8f83\u77ed\u7684\u201c\u5377\u79ef\u7a97\u53e3\u201d\u5728\u6574\u4e2a\u4fe1\u53f7\u4e0a\u6ed1\u52a8\u3002\u4f8b\u5982\uff0c\u4e00\u4e2a\u5377\u79ef\u6838\u53ef\u80fd\u89c2\u5bdf\u76f8\u90bb\u51e0\u5341\u4e2a\u91c7\u6837\u70b9\uff0c\u5e76\u5b66\u4e60\u5176\u4e2d\u662f\u5426\u5b58\u5728\u67d0\u79cd\u5c40\u90e8\u6a21\u5f0f\u3002<\/p>\n\n\n\n

\u8fd9\u4e9b\u6a21\u5f0f\u53ef\u80fd\u5bf9\u5e94\uff1a<\/p>\n\n\n\n

\u51b2\u51fb\u3001\u632f\u8361\u3001\u9ad8\u9891\u6bdb\u523a\u3001\u5468\u671f\u6027\u53d8\u5316\u6216\u8005\u6ce2\u5f62\u7a81\u53d8\u3002<\/p>\n\n\n\n

\u56e0\u6b64\u53ef\u4ee5\u628aCNN\u7406\u89e3\u4e3a\uff1a<\/p>\n\n\n\n

\u7531AI\u81ea\u52a8\u5b66\u4e60\u51fa\u6765\u7684\u4e00\u7ec4\u6570\u5b57\u6ee4\u6ce2\u5668\u3002<\/strong><\/p>\n\n\n\n

\u4f20\u7edf\u65b9\u6cd5\u9700\u8981\u5de5\u7a0b\u4eba\u5458\u51b3\u5b9a\u201c\u5e94\u8be5\u5206\u6790\u54ea\u4e9b\u9891\u7387\u3001\u8ba1\u7b97\u54ea\u4e9b\u7279\u5f81\u201d\uff0c\u800cCNN\u53ef\u4ee5\u4ece\u6570\u636e\u4e2d\u81ea\u52a8\u5bfb\u627e\u6700\u6709\u5229\u4e8e\u533a\u5206\u6545\u969c\u7684\u5c40\u90e8\u7279\u5f81\u3002<\/p>\n\n\n\n

\u8fd9\u4e5f\u662f\u4e3a\u4ec0\u4e48CNN\u7279\u522b\u9002\u5408\u632f\u52a8\u3001\u7535\u6d41\u3001\u58f0\u97f3\u3001\u8d85\u58f0\u548c\u58f0\u53d1\u5c04\u7b49\u9ad8\u91c7\u6837\u7387\u4fe1\u53f7\u3002<\/p>\n\n\n\n

\n\n\n\n

\u56db\u30011D CNN\u8fd8\u662f2D CNN\uff1f<\/h1>\n\n\n\n

\u5de5\u4e1a\u8bbe\u5907\u8bca\u65ad\u4e2d\uff0c\u4e24\u79cd\u65b9\u5f0f\u90fd\u975e\u5e38\u5e38\u89c1\u3002<\/p>\n\n\n\n

\u7b2c\u4e00\u79cd\u662f\u76f4\u63a5\u5904\u7406\u539f\u59cb\u65f6\u95f4\u5e8f\u5217\uff1a<\/p>\n\n\n\n

\u539f\u59cb\u632f\u52a8 \u2192 1D CNN \u2192 \u6545\u969c\u8bc6\u522b<\/strong><\/p>\n\n\n\n

\u8fd9\u79cd\u65b9\u6cd5\u7ed3\u6784\u7b80\u5355\uff0c\u8ba1\u7b97\u6548\u7387\u8f83\u9ad8\uff0c\u4e5f\u6bd4\u8f83\u9002\u5408\u8fb9\u7f18\u8bbe\u5907\u90e8\u7f72\u3002<\/p>\n\n\n\n

\u7b2c\u4e8c\u79cd\u65b9\u6cd5\u662f\u9996\u5148\u8fdb\u884cSTFT\u3001\u5c0f\u6ce2\u53d8\u6362\u7b49\u65f6\u9891\u5206\u6790\uff0c\u628a\u4e00\u7ef4\u4fe1\u53f7\u8f6c\u6362\u6210\u65f6\u9891\u56fe\uff1a<\/p>\n\n\n\n

\u539f\u59cb\u632f\u52a8 \u2192 STFT \u2192 \u65f6\u9891\u56fe \u2192 2D CNN \u2192 \u6545\u969c\u8bc6\u522b<\/strong><\/p>\n\n\n\n

\u4f8b\u5982\u4e00\u4e2a\u65f6\u9891\u56fe\u53ef\u4ee5\u8868\u793a\u4e3a\uff1aS<\/mi>(<\/mo>t<\/mi>,<\/mo>f<\/mi>)<\/mo><\/mrow>S(t,f)<\/annotation><\/semantics><\/math><\/p>\n\n\n\n

\u5176\u4e2d\uff0ct<\/mi><\/mrow>t<\/annotation><\/semantics><\/math> \u8868\u793a\u65f6\u95f4\uff0cf<\/mi><\/mrow>f<\/annotation><\/semantics><\/math> \u8868\u793a\u9891\u7387\uff0c\u800c S<\/mi>(<\/mo>t<\/mi>,<\/mo>f<\/mi>)<\/mo><\/mrow>S(t,f)<\/annotation><\/semantics><\/math> \u8868\u793a\u67d0\u4e00\u65f6\u523b\u3001\u67d0\u4e00\u9891\u7387\u9644\u8fd1\u7684\u4fe1\u53f7\u80fd\u91cf\u3002<\/p>\n\n\n\n

\u901a\u4fd7\u5730\u8bf4\uff0c\u5b83\u56de\u7b54\u7684\u662f\uff1a<\/p>\n\n\n\n

\n

\u8bbe\u5907\u5728\u4ec0\u4e48\u65f6\u5019\uff0c\u51fa\u73b0\u4e86\u4ec0\u4e48\u9891\u7387\u6210\u5206\uff1f<\/strong><\/p>\n<\/blockquote>\n\n\n\n

\u5bf9\u4e8e\u8f74\u627f\u51b2\u51fb\u3001\u9f7f\u8f6e\u556e\u5408\u5f02\u5e38\u6216\u8005\u8f6c\u901f\u53d8\u5316\u660e\u663e\u7684\u8bbe\u5907\uff0c\u8fd9\u79cd\u65f6\u9891\u4fe1\u606f\u5f80\u5f80\u975e\u5e38\u91cd\u8981\u3002<\/p>\n\n\n\n

\u4e0d\u8fc7\uff0cSTFT + 2D CNN\u4e5f\u610f\u5473\u7740\u66f4\u591a\u7684\u6570\u636e\u9884\u5904\u7406\u548c\u8ba1\u7b97\u5f00\u9500\u3002\u56e0\u6b64\uff0c\u5982\u679c\u539f\u59cb1D\u4fe1\u53f7\u5df2\u7ecf\u80fd\u591f\u5f88\u597d\u5730\u533a\u5206\u6545\u969c\uff0c\u6ca1\u6709\u5fc5\u8981\u4e3a\u4e86\u201c\u56fe\u50cf\u5316\u201d\u800c\u5f3a\u884c\u8f6c\u6362\u6210\u65f6\u9891\u56fe\u3002<\/p>\n\n\n\n

\n\n\n\n

\u4e94\u3001ResNet\u548cInceptionTime\uff1a\u6bd4\u666e\u901aCNN\u66f4\u503c\u5f97\u6d4b\u8bd5\u7684\u5347\u7ea7\u65b9\u6848<\/h1>\n\n\n\n

\u5de5\u4e1a\u9879\u76ee\u4e2d\u4e0d\u5e94\u8be5\u628aCNN\u7b80\u5355\u7406\u89e3\u6210\u51e0\u4e2a\u5377\u79ef\u5c42\u3002<\/p>\n\n\n\n

\u5bf9\u4e8e\u65f6\u95f4\u5e8f\u5217\uff0cResNet\u548cInceptionTime\u90fd\u975e\u5e38\u503c\u5f97\u8003\u8651\u3002<\/p>\n\n\n\n

ResNet\u901a\u8fc7\u6b8b\u5dee\u8fde\u63a5\u89e3\u51b3\u6df1\u5c42\u7f51\u7edc\u8bad\u7ec3\u56f0\u96be\u7684\u95ee\u9898\u3002\u7b80\u5355\u8868\u793a\u5c31\u662f\uff1ay<\/mi>=<\/mo>F<\/mi>(<\/mo>x<\/mi>)<\/mo>+<\/mo>x<\/mi><\/mrow>\\mathbf{y}=F(\\mathbf{x})+\\mathbf{x}<\/annotation><\/semantics><\/math><\/p>\n\n\n\n

\u5176\u4e2d\uff0cx<\/mi><\/mrow>\\mathbf{x}<\/annotation><\/semantics><\/math> \u662f\u539f\u59cb\u8f93\u5165\uff0cF<\/mi>(<\/mo>x<\/mi>)<\/mo><\/mrow>F(\\mathbf{x})<\/annotation><\/semantics><\/math> \u662f\u5377\u79ef\u7f51\u7edc\u5b66\u4e60\u5230\u7684\u65b0\u7279\u5f81\uff0c\u6700\u540e\u628a\u4e24\u8005\u76f8\u52a0\u3002<\/p>\n\n\n\n

\u5b83\u7684\u901a\u4fd7\u542b\u4e49\u662f\uff1a<\/p>\n\n\n\n

\u7f51\u7edc\u4e0d\u9700\u8981\u628a\u539f\u6765\u7684\u4fe1\u606f\u5168\u90e8\u63a8\u7ffb\uff0c\u800c\u53ea\u9700\u8981\u5b66\u4e60\u201c\u5728\u539f\u6709\u4fe1\u606f\u57fa\u7840\u4e0a\u5e94\u8be5\u589e\u52a0\u4ec0\u4e48\u53d8\u5316\u201d\u3002<\/strong><\/p>\n\n\n\n

\u8fd9\u79cd\u7ed3\u6784\u4f7f\u5f97\u6a21\u578b\u53ef\u4ee5\u6784\u5efa\u5f97\u66f4\u6df1\uff0c\u540c\u65f6\u4fdd\u6301\u6bd4\u8f83\u7a33\u5b9a\u7684\u8bad\u7ec3\u8fc7\u7a0b\u3002<\/p>\n\n\n\n

InceptionTime\u5219\u91c7\u7528\u591a\u4e2a\u4e0d\u540c\u957f\u5ea6\u7684\u5377\u79ef\u6838\u5e76\u884c\u5206\u6790\u540c\u4e00\u6bb5\u65f6\u95f4\u5e8f\u5217\u3002<\/p>\n\n\n\n

\u8fd9\u975e\u5e38\u7b26\u5408\u5de5\u4e1a\u4fe1\u53f7\u7279\u70b9\u3002<\/p>\n\n\n\n

\u56e0\u4e3a\u8bbe\u5907\u6545\u969c\u53ef\u80fd\u540c\u65f6\u5305\u542b\uff1a<\/p>\n\n\n\n

\u77ed\u65f6\u95f4\u51b2\u51fb\u3001\u4e2d\u65f6\u95f4\u5c3a\u5ea6\u632f\u8361\u4ee5\u53ca\u8f83\u957f\u5468\u671f\u53d8\u5316\u3002<\/p>\n\n\n\n

\u4e0d\u540c\u957f\u5ea6\u7684\u5377\u79ef\u6838\u53ef\u4ee5\u5206\u522b\u89c2\u5bdf\u4e0d\u540c\u65f6\u95f4\u5c3a\u5ea6\u7684\u7279\u5f81\u3002<\/p>\n\n\n\n

\u56e0\u6b64\uff0c\u5982\u679c\u6570\u636e\u91cf\u5df2\u7ecf\u6bd4\u8f83\u5145\u8db3\uff0c\u5728\u666e\u901a1D CNN\u4e4b\u540e\uff0c\u975e\u5e38\u503c\u5f97\u7ee7\u7eed\u6d4b\u8bd5\uff1a<\/p>\n\n\n\n

1D ResNet\u548cInceptionTime\u3002<\/strong><\/p>\n\n\n\n

\n\n\n\n

\u516d\u3001LSTM\uff1a\u91cd\u70b9\u4e0d\u662f\u201c\u770b\u5230\u4e86\u4ec0\u4e48\u201d\uff0c\u800c\u662f\u201c\u600e\u4e48\u53d8\u5316\u8fc7\u6765\u7684\u201d<\/h1>\n\n\n\n

LSTM\u662f\u5faa\u73af\u795e\u7ecf\u7f51\u7edc\u7684\u4e00\u79cd\uff0c\u5b83\u7684\u4f18\u52bf\u5728\u4e8e\u5206\u6790\u65f6\u95f4\u5e8f\u5217\u4e4b\u95f4\u7684\u524d\u540e\u4f9d\u8d56\u5173\u7cfb\u3002<\/p>\n\n\n\n

\u5047\u8bbe\u7cfb\u7edf\u6bcf\u79d2\u8ba1\u7b97\u4e00\u6b21\u8bbe\u5907\u72b6\u6001\u7279\u5f81\uff0c\u90a3\u4e48\u8fde\u7eed100\u79d2\u53ef\u80fd\u4ea7\u751f\uff1aX<\/mi>1<\/mn><\/msub>,<\/mo>X<\/mi>2<\/mn><\/msub>,<\/mo>X<\/mi>3<\/mn><\/msub>,<\/mo>\u2026<\/mo>,<\/mo>X<\/mi>100<\/mn><\/msub><\/mrow>\\mathbf{X}_1,\\mathbf{X}_2,\\mathbf{X}_3,\\ldots,\\mathbf{X}_{100}<\/annotation><\/semantics><\/math><\/p>\n\n\n\n

\u5176\u4e2d\u6bcf\u4e00\u4e2a X<\/mi>t<\/mi><\/msub><\/mrow>\\mathbf{X}_t<\/annotation><\/semantics><\/math> \u90fd\u8868\u793a\u7b2c t<\/mi><\/mrow>t<\/annotation><\/semantics><\/math> \u79d2\u7684\u8bbe\u5907\u72b6\u6001\uff0c\u4f8b\u5982\u53ef\u80fd\u540c\u65f6\u5305\u542b\u632f\u52a8\u3001\u7535\u6d41\u3001\u6e29\u5ea6\u548c\u538b\u529b\u7b49\u51e0\u5341\u4e2a\u6307\u6807\u3002<\/p>\n\n\n\n

LSTM\u5173\u6ce8\u7684\u5e76\u4e0d\u4ec5\u4ec5\u662f\u7b2c100\u79d2\u53d1\u751f\u4e86\u4ec0\u4e48\uff0c\u800c\u662f\uff1a<\/p>\n\n\n\n

\u8bbe\u5907\u4ece\u7b2c1\u79d2\u5230\u7b2c100\u79d2\u662f\u600e\u6837\u53d8\u5316\u5230\u5f53\u524d\u72b6\u6001\u7684\u3002<\/strong><\/p>\n\n\n\n

\u4f8b\u5982\uff1a<\/p>\n\n\n\n

\u6e29\u5ea6\u9010\u6e10\u5347\u9ad8 \u2192 \u632f\u52a8\u9010\u6e10\u589e\u5927 \u2192 \u7535\u6d41\u5f00\u59cb\u6ce2\u52a8 \u2192 \u6700\u540e\u51fa\u73b0\u5f02\u5e38\u3002<\/p>\n\n\n\n

\u8fd9\u79cd\u201c\u72b6\u6001\u6f14\u5316\u8fc7\u7a0b\u201d\u6b63\u662fLSTM\u6bd4\u8f83\u64c5\u957f\u8bc6\u522b\u7684\u6a21\u5f0f\u3002<\/p>\n\n\n\n

\u56e0\u6b64\uff0cLSTM\u6bd4\u8f83\u9002\u5408\u5177\u6709\u660e\u786e\u8fc7\u7a0b\u6027\u7684\u8bbe\u5907\u3002<\/p>\n\n\n\n

\u4f8b\u5982\u4e00\u6b21\u5b8c\u6574\u8fd0\u884c\u8fc7\u7a0b\u53ef\u80fd\u5305\u542b\uff1a<\/p>\n\n\n\n

\u542f\u52a8 \u2192 \u52a0\u901f \u2192 \u7a33\u6001\u8fd0\u884c \u2192 \u51cf\u901f \u2192 \u505c\u6b62<\/strong><\/p>\n\n\n\n

\u8fd9\u65f6\u5019\uff0c\u53ea\u5224\u65ad\u67d0\u4e00\u4e2a\u77ac\u95f4\u7684\u632f\u52a8\u503c\u53ef\u80fd\u4e0d\u8db3\u4ee5\u5224\u65ad\u6545\u969c\uff0c\u800c\u5206\u6790\u6574\u4e2a\u8fc7\u7a0b\u66f4\u52a0\u91cd\u8981\u3002<\/p>\n\n\n\n

\n\n\n\n

\u4e03\u3001\u4e3a\u4ec0\u4e48\u4e0d\u5efa\u8bae\u76f4\u63a5\u628a\u8d85\u957f\u632f\u52a8\u6ce2\u5f62\u5168\u90e8\u9001\u5165LSTM\uff1f<\/h1>\n\n\n\n

\u5047\u8bbe\u632f\u52a8\u91c7\u6837\u9891\u7387\u4e3a10 kHz\uff0c\u8fde\u7eed\u91c7\u96c610\u79d2\u3002<\/p>\n\n\n\n

\u603b\u91c7\u6837\u70b9\u6570\u91cf\u4e3a\uff1aN<\/mi>=<\/mo>f<\/mi>s<\/mi><\/msub>\u00d7<\/mo>T<\/mi><\/mrow>N=f_s\\times T<\/annotation><\/semantics><\/math><\/p>\n\n\n\n

\u5176\u4e2d\uff0cf<\/mi>s<\/mi><\/msub><\/mrow>f_s<\/annotation><\/semantics><\/math> \u662f\u91c7\u6837\u9891\u7387\uff0cT<\/mi><\/mrow>T<\/annotation><\/semantics><\/math> \u662f\u91c7\u6837\u65f6\u95f4\u3002<\/p>\n\n\n\n

\u4ee3\u5165\uff1aN<\/mi>=<\/mo>10000<\/mn>\u00d7<\/mo>10<\/mn>=<\/mo>100000<\/mn><\/mrow>N=10000\\times10=100000<\/annotation><\/semantics><\/math><\/p>\n\n\n\n

\u4e5f\u5c31\u662f\u8bf4\uff0c\u4e00\u6b21\u91c7\u96c6\u5c31\u5305\u542b10\u4e07\u4e2a\u65f6\u95f4\u70b9\u3002<\/p>\n\n\n\n

\u5982\u679c\u8ba9LSTM\u4e00\u6b65\u4e00\u6b65\u5904\u740610\u4e07\u4e2a\u91c7\u6837\u70b9\uff0c\u4e0d\u4f46\u8ba1\u7b97\u91cf\u5f88\u5927\uff0c\u800c\u4e14\u8bad\u7ec3\u4e5f\u6bd4\u8f83\u56f0\u96be\u3002<\/p>\n\n\n\n

\u56e0\u6b64\uff0c\u66f4\u5e38\u89c1\u7684\u5de5\u7a0b\u65b9\u6cd5\u662f\uff1a<\/p>\n\n\n\n

CNN + LSTM\u3002<\/strong><\/p>\n\n\n\n

CNN\u9996\u5148\u628a\u539f\u59cb\u9ad8\u9891\u4fe1\u53f7\u538b\u7f29\u6210\u4e00\u7cfb\u5217\u9ad8\u5c42\u7279\u5f81\uff0c\u7136\u540eLSTM\u518d\u5206\u6790\u8fd9\u4e9b\u7279\u5f81\u5982\u4f55\u968f\u65f6\u95f4\u53d8\u5316\u3002<\/p>\n\n\n\n

\u4e5f\u5c31\u662f\uff1a<\/p>\n\n\n\n

\u539f\u59cb\u4fe1\u53f7 \u2192 CNN\u63d0\u53d6\u5c40\u90e8\u7279\u5f81 \u2192 \u7279\u5f81\u5e8f\u5217 \u2192 LSTM\u5206\u6790\u65f6\u95f4\u6f14\u5316 \u2192 \u6545\u969c\u8bc6\u522b<\/strong><\/p>\n\n\n\n

\u8fd9\u79cd\u7ed3\u6784\u5f80\u5f80\u6bd4\u5355\u72ec\u4f7f\u7528LSTM\u66f4\u52a0\u5408\u7406\u3002<\/p>\n\n\n\n

\n\n\n\n

\u516b\u3001TCN\uff1a\u975e\u5e38\u9002\u5408\u5de5\u4e1a\u65f6\u95f4\u5e8f\u5217\u7684\u201c\u9ad8\u6027\u4ef7\u6bd4\u6a21\u578b\u201d<\/h1>\n\n\n\n

\u9664\u4e86LSTM\uff0c\u8fd8\u6709\u4e00\u4e2a\u503c\u5f97\u7279\u522b\u5173\u6ce8\u7684\u6a21\u578b\uff1a<\/p>\n\n\n\n

TCN\uff0cTemporal Convolutional Network\uff0c\u65f6\u95f4\u5377\u79ef\u7f51\u7edc\u3002<\/strong><\/p>\n\n\n\n

TCN\u867d\u7136\u672c\u8d28\u4e0a\u4ecd\u7136\u91c7\u7528\u5377\u79ef\uff0c\u4f46\u5b83\u901a\u8fc7\u6269\u5f20\u5377\u79ef\u9010\u6e10\u6269\u5927\u89c2\u5bdf\u8303\u56f4\u3002<\/p>\n\n\n\n

\u4f8b\u5982\u5377\u79ef\u4e4b\u95f4\u7684\u95f4\u9694\u53ef\u4ee5\u4f9d\u6b21\u6269\u5927\u4e3a\uff1a1<\/mn>,<\/mo> <\/mtext>2<\/mn>,<\/mo> <\/mtext>4<\/mn>,<\/mo> <\/mtext>8<\/mn>,<\/mo> <\/mtext>16<\/mn>,<\/mo> <\/mtext>32<\/mn><\/mrow>1,\\ 2,\\ 4,\\ 8,\\ 16,\\ 32<\/annotation><\/semantics><\/math><\/p>\n\n\n\n

\u610f\u601d\u662f\uff0c\u7f51\u7edc\u8d8a\u5f80\u540e\uff0c\u5c31\u53ef\u4ee5\u8de8\u8d8a\u8d8a\u6765\u8d8a\u957f\u7684\u65f6\u95f4\u8ddd\u79bb\u89c2\u5bdf\u6570\u636e\u3002<\/p>\n\n\n\n

\u56e0\u6b64TCN\u65e2\u80fd\u591f\u6355\u6349\u77ed\u65f6\u95f4\u5c40\u90e8\u53d8\u5316\uff0c\u53c8\u80fd\u591f\u5b66\u4e60\u6bd4\u8f83\u957f\u65f6\u95f4\u5c3a\u5ea6\u4e0a\u7684\u4f9d\u8d56\u5173\u7cfb\u3002<\/p>\n\n\n\n

\u4e0eLSTM\u76f8\u6bd4\uff0cTCN\u5177\u6709\u4e00\u4e2a\u660e\u663e\u4f18\u52bf\uff1a<\/p>\n\n\n\n

\u5377\u79ef\u8ba1\u7b97\u66f4\u5bb9\u6613\u5e76\u884c\u3002<\/strong><\/p>\n\n\n\n

\u56e0\u6b64\u8bad\u7ec3\u901f\u5ea6\u548c\u63a8\u7406\u6548\u7387\u901a\u5e38\u6bd4\u8f83\u53cb\u597d\u3002<\/p>\n\n\n\n

\u5728\u5f88\u591a\u8bbe\u5907\u6545\u969c\u8bc6\u522b\u9879\u76ee\u4e2d\uff0c\u6211\u4f1a\u5efa\u8bae\u628a\uff1a<\/p>\n\n\n\n

CNN-LSTM<\/strong><\/p>\n\n\n\n

\u548c\uff1a<\/p>\n\n\n\n

CNN-TCN<\/strong><\/p>\n\n\n\n

\u653e\u5728\u4e00\u8d77\u8fdb\u884c\u5bf9\u7167\u5b9e\u9a8c\u3002<\/p>\n\n\n\n

\u5b9e\u9645\u7ed3\u679c\u6709\u65f6\u4f1a\u53d1\u73b0\uff0cTCN\u53ef\u4ee5\u7528\u66f4\u7b80\u5355\u7684\u7ed3\u6784\u83b7\u5f97\u4e0eLSTM\u76f8\u5f53\u751a\u81f3\u66f4\u597d\u7684\u7ed3\u679c\u3002<\/p>\n\n\n\n

\n\n\n\n

\u4e5d\u3001Transformer\uff1a\u80fd\u529b\u5f88\u5f3a\uff0c\u4f46\u5e76\u4e0d\u610f\u5473\u7740\u6240\u6709\u8bbe\u5907\u90fd\u5e94\u8be5\u4f7f\u7528<\/h1>\n\n\n\n

Transformer\u8fd1\u5e74\u6765\u6210\u4e3a\u65f6\u95f4\u5e8f\u5217\u7814\u7a76\u4e2d\u7684\u91cd\u8981\u6a21\u578b\u3002<\/p>\n\n\n\n

\u5b83\u6700\u5927\u7684\u7279\u70b9\u662fAttention\uff0c\u4e5f\u5c31\u662f\u6ce8\u610f\u529b\u673a\u5236\u3002<\/p>\n\n\n\n

\u4e00\u4e2a\u7b80\u5316\u7684\u6ce8\u610f\u529b\u8ba1\u7b97\u53ef\u4ee5\u8868\u793a\u4e3a\uff1aAttention<\/mi>\u2061<\/mo>(<\/mo>Q<\/mi>,<\/mo>K<\/mi>,<\/mo>V<\/mi>)<\/mo>=<\/mo>softmax<\/mi>\u2061<\/mo>(<\/mo>Q<\/mi>K<\/mi>T<\/mi><\/msup><\/mrow>d<\/mi>k<\/mi><\/msub><\/msqrt><\/mfrac>)<\/mo><\/mrow>V<\/mi><\/mrow>\\operatorname{Attention}(Q,K,V) = \\operatorname{softmax} \\left( \\frac{QK^{T}}{\\sqrt{d_k}} \\right)V<\/annotation><\/semantics><\/math><\/p>\n\n\n\n

\u8fd9\u4e2a\u516c\u5f0f\u770b\u8d77\u6765\u6bd4\u8f83\u590d\u6742\uff0c\u4f46\u5b83\u8868\u8fbe\u7684\u6838\u5fc3\u601d\u60f3\u5176\u5b9e\u975e\u5e38\u7b80\u5355\uff1a<\/p>\n\n\n\n

\u6a21\u578b\u81ea\u52a8\u5224\u65ad\u201c\u5f53\u524d\u8fd9\u4e2a\u65f6\u523b\uff0c\u5e94\u8be5\u91cd\u70b9\u5173\u6ce8\u5386\u53f2\u4e0a\u7684\u54ea\u4e9b\u4fe1\u606f\u201d\u3002<\/strong><\/p>\n\n\n\n

\u4f8b\u5982\u8bbe\u5907\u5728\u7b2c2\u79d2\u51fa\u73b0\u4e86\u4e00\u6b21\u632f\u52a8\u51b2\u51fb\uff0c\u7b2c20\u79d2\u7535\u6d41\u53d1\u751f\u53d8\u5316\uff0c\u7b2c35\u79d2\u6e29\u5ea6\u5f00\u59cb\u6301\u7eed\u4e0a\u5347\u3002<\/p>\n\n\n\n

Transformer\u53ef\u4ee5\u76f4\u63a5\u5b66\u4e60\uff1a<\/p>\n\n\n\n

\n

\u7b2c35\u79d2\u7684\u5f02\u5e38\uff0c\u4e0e\u7b2c2\u79d2\u548c\u7b2c20\u79d2\u53d1\u751f\u7684\u4e8b\u60c5\u662f\u5426\u6709\u5173\u3002<\/p>\n<\/blockquote>\n\n\n\n

\u8fd9\u79cd\u673a\u5236\u975e\u5e38\u9002\u5408\u957f\u65f6\u95f4\u5e8f\u5217\u3002<\/p>\n\n\n\n

\n\n\n\n

\u5341\u3001Transformer\u771f\u6b63\u6709\u4f18\u52bf\u7684\u573a\u666f\u662f\u4ec0\u4e48\uff1f<\/h1>\n\n\n\n

Transformer\u5c24\u5176\u9002\u5408\u4e09\u7c7b\u60c5\u51b5\u3002<\/p>\n\n\n\n

\u7b2c\u4e00\u7c7b\u662f\u957f\u65f6\u95f4\u5e8f\u5217<\/strong>\u3002<\/p>\n\n\n\n

\u4f8b\u5982\u5e0c\u671b\u5206\u6790\u8bbe\u5907\u8fc7\u53bb\u51e0\u5206\u949f\u3001\u51e0\u5c0f\u65f6\u751a\u81f3\u66f4\u957f\u65f6\u95f4\u4e2d\u7684\u5173\u8054\u5173\u7cfb\u3002<\/p>\n\n\n\n

\u7b2c\u4e8c\u7c7b\u662f\u591a\u4f20\u611f\u5668\u878d\u5408<\/strong>\u3002<\/p>\n\n\n\n

\u4f8b\u5982\u540c\u65f6\u62e5\u6709\uff1a<\/p>\n\n\n\n

\u632f\u52a8\u3001\u7535\u6d41\u3001\u6e29\u5ea6\u3001\u538b\u529b\u3001\u8f6c\u901f\u3001\u6d41\u91cf\u3001\u58f0\u97f3\u3001\u8d1f\u8f7d\u7b49\u51e0\u5341\u8def\u4fe1\u53f7\u3002<\/p>\n\n\n\n

\u4e0d\u540c\u4fe1\u53f7\u4e4b\u95f4\u5e76\u4e0d\u662f\u76f8\u4e92\u72ec\u7acb\u7684\u3002<\/p>\n\n\n\n

Transformer\u53ef\u4ee5\u5c1d\u8bd5\u5b66\u4e60\uff1a<\/p>\n\n\n\n

\u632f\u52a8\u4e0e\u8f6c\u901f\u6709\u4ec0\u4e48\u5173\u7cfb\u3001\u7535\u6d41\u4e0e\u8d1f\u8f7d\u6709\u4ec0\u4e48\u5173\u7cfb\u3001\u6e29\u5ea6\u53d8\u5316\u662f\u5426\u4e0e\u4e4b\u524d\u7684\u632f\u52a8\u5f02\u5e38\u6709\u5173\u3002<\/strong><\/p>\n\n\n\n

\u7b2c\u4e09\u7c7b\u662f\u5927\u89c4\u6a21\u8bbe\u5907\u6570\u636e\u5e73\u53f0<\/strong>\u3002<\/p>\n\n\n\n

\u5982\u679c\u4f01\u4e1a\u62e5\u6709\u51e0\u767e\u3001\u51e0\u5343\u751a\u81f3\u51e0\u4e07\u53f0\u8bbe\u5907\uff0c\u5e76\u4e14\u79ef\u7d2f\u4e86\u591a\u5e74\u7684\u8fd0\u884c\u6570\u636e\uff0c\u90a3\u4e48Transformer\u548c\u81ea\u76d1\u7763\u9884\u8bad\u7ec3\u7684\u4f18\u52bf\u4f1a\u8d8a\u6765\u8d8a\u660e\u663e\u3002<\/p>\n\n\n\n

\u4f46\u662f\uff0c\u5982\u679c\u53ea\u6709\uff1a<\/p>\n\n\n\n

\u51e0\u767e\u4e2a\u6545\u969c\u6837\u672c\u3001\u4e00\u53f0\u8bbe\u5907\u548c\u51e0\u4e2a\u4f20\u611f\u5668\uff0c<\/p>\n\n\n\n

\u90a3\u4e48Transformer\u672a\u5fc5\u4f18\u4e8eLightGBM\u6216\u8005CNN\u3002<\/p>\n\n\n\n

\u751a\u81f3\u5f88\u53ef\u80fd\u51fa\u73b0\uff1a<\/p>\n\n\n\n

\u6a21\u578b\u66f4\u52a0\u590d\u6742\uff0c\u4f46\u5b9e\u9645\u6548\u679c\u5e76\u6ca1\u6709\u63d0\u9ad8\u3002<\/p>\n\n\n\n

\u6240\u4ee5\u8bbe\u5907\u6545\u969c\u8bca\u65ad\u4e0d\u80fd\u7b80\u5355\u5730\u8ba4\u4e3a\uff1a<\/p>\n\n\n\n

Transformer > LSTM > CNN > LightGBM\u3002<\/strong><\/p>\n\n\n\n

\u8fd9\u79cd\u6392\u5217\u5e76\u4e0d\u5b58\u5728\u3002<\/p>\n\n\n\n

\n\n\n\n

\u5341\u4e00\u3001Autoencoder\uff1a\u5f53\u201c\u6b63\u5e38\u6570\u636e\u5f88\u591a\u3001\u6545\u969c\u6570\u636e\u5f88\u5c11\u201d\u65f6\u5c24\u5176\u91cd\u8981<\/h1>\n\n\n\n

\u5de5\u4e1a\u73b0\u573a\u6700\u666e\u904d\u7684\u6570\u636e\u95ee\u9898\u4e4b\u4e00\u662f\uff1a<\/p>\n\n\n\n

\u6b63\u5e38\u6570\u636e\u5f88\u591a\uff0c\u771f\u6b63\u7684\u6545\u969c\u6570\u636e\u5f88\u5c11\u3002<\/strong><\/p>\n\n\n\n

\u4e00\u53f0\u53ef\u9760\u8bbe\u5907\u53ef\u80fd\u8fde\u7eed\u8fd0\u884c\u51e0\u5e74\uff0c\u53ea\u51fa\u73b0\u8fc7\u51e0\u6b21\u4e25\u91cd\u6545\u969c\u3002<\/p>\n\n\n\n

\u8fd9\u610f\u5473\u7740\u5f88\u96be\u6536\u96c6\u8db3\u591f\u7684\u6570\u636e\u53bb\u8bad\u7ec3\uff1a<\/p>\n\n\n\n

\u6b63\u5e38\u3001\u6545\u969cA\u3001\u6545\u969cB\u3001\u6545\u969cC\u2026\u2026<\/p>\n\n\n\n

\u8fd9\u79cd\u591a\u5206\u7c7b\u6a21\u578b\u3002<\/p>\n\n\n\n

\u6b64\u65f6\u53ef\u4ee5\u5148\u4f7f\u7528Autoencoder\uff0c\u4e5f\u5c31\u662f\u81ea\u52a8\u7f16\u7801\u5668\u3002<\/p>\n\n\n\n

\u5b83\u7684\u7ed3\u6784\u53ef\u4ee5\u5199\u6210\uff1ax<\/mi>\u2192<\/mo>E<\/mi>n<\/mi>c<\/mi>o<\/mi>d<\/mi>e<\/mi>r<\/mi>\u2192<\/mo>z<\/mi>\u2192<\/mo>D<\/mi>e<\/mi>c<\/mi>o<\/mi>d<\/mi>e<\/mi>r<\/mi>\u2192<\/mo>x<\/mi>^<\/mo><\/mover><\/mrow>\\mathbf{x} \\rightarrow Encoder \\rightarrow \\mathbf{z} \\rightarrow Decoder \\rightarrow \\hat{\\mathbf{x}}<\/annotation><\/semantics><\/math><\/p>\n\n\n\n

\u5176\u4e2d\uff1a<\/p>\n\n\n\n

x<\/mi><\/mrow>\\mathbf{x}<\/annotation><\/semantics><\/math> \u662f\u539f\u59cb\u6b63\u5e38\u6570\u636e\uff1b<\/p>\n\n\n\n

z<\/mi><\/mrow>\\mathbf{z}<\/annotation><\/semantics><\/math> \u662f\u6a21\u578b\u538b\u7f29\u5f97\u5230\u7684\u4f4e\u7ef4\u7279\u5f81\uff1b<\/p>\n\n\n\n

x<\/mi>^<\/mo><\/mover><\/mrow>\\hat{\\mathbf{x}}<\/annotation><\/semantics><\/math> \u662f\u6a21\u578b\u91cd\u65b0\u6784\u9020\u51fa\u6765\u7684\u6570\u636e\u3002<\/p>\n\n\n\n

\u8bad\u7ec3\u76ee\u6807\u5c31\u662f\u8ba9\uff1ax<\/mi>^<\/mo><\/mover>\u2248<\/mo>x<\/mi><\/mrow>\\hat{\\mathbf{x}}\\approx\\mathbf{x}<\/annotation><\/semantics><\/math><\/p>\n\n\n\n

\u4e5f\u5c31\u662f\uff1a<\/p>\n\n\n\n

\u8ba9\u6a21\u578b\u5c3d\u53ef\u80fd\u628a\u6b63\u5e38\u6570\u636e\u8fd8\u539f\u51fa\u6765\u3002<\/strong><\/p>\n\n\n\n

\u968f\u540e\u53ef\u4ee5\u8ba1\u7b97\u91cd\u6784\u8bef\u5dee\uff1aE<\/mi>=<\/mo>1<\/mn>N<\/mi><\/mfrac>\u2211<\/mo>i<\/mi>=<\/mo>1<\/mn><\/mrow>N<\/mi><\/munderover>(<\/mo>x<\/mi>i<\/mi><\/msub>\u2212<\/mo>x<\/mi>^<\/mo><\/mover>i<\/mi><\/msub>)<\/mo>2<\/mn><\/msup><\/mrow>E= \\frac{1}{N} \\sum_{i=1}^{N} (x_i-\\hat{x}_i)^2<\/annotation><\/semantics><\/math><\/p>\n\n\n\n

\u8fd9\u91cc\u7684 E<\/mi><\/mrow>E<\/annotation><\/semantics><\/math> \u5c31\u662f\u539f\u59cb\u6570\u636e\u548c\u91cd\u5efa\u6570\u636e\u4e4b\u95f4\u7684\u5e73\u5747\u5dee\u5f02\u3002<\/p>\n\n\n\n

\u901a\u4fd7\u5730\u8bf4\uff1a<\/p>\n\n\n\n

\u6b63\u5e38\u6570\u636e\u56e0\u4e3a\u6a21\u578b\u89c1\u8fc7\u5f88\u591a\uff0c\u6240\u4ee5\u901a\u5e38\u80fd\u591f\u5f88\u597d\u5730\u8fd8\u539f\uff0c\u8bef\u5dee\u6bd4\u8f83\u5c0f\uff1b<\/p>\n\n\n\n

\u5f02\u5e38\u6570\u636e\u7684\u6a21\u5f0f\u6a21\u578b\u6ca1\u6709\u5b66\u8fc7\uff0c\u56e0\u6b64\u901a\u5e38\u8fd8\u539f\u5f97\u6bd4\u8f83\u5dee\uff0c\u8bef\u5dee\u53d8\u5927\u3002<\/p>\n\n\n\n

\u4e8e\u662f\u53ef\u4ee5\u8bbe\u5b9a\uff1aE<\/mi>><\/mo>T<\/mi><\/mrow>E>T<\/annotation><\/semantics><\/math><\/p>\n\n\n\n

\u5176\u4e2d T<\/mi><\/mrow>T<\/annotation><\/semantics><\/math> \u662f\u5f02\u5e38\u9608\u503c\u3002<\/p>\n\n\n\n

\u5176\u542b\u4e49\u5c31\u662f\uff1a<\/p>\n\n\n\n

\n

\u5982\u679c\u91cd\u6784\u8bef\u5dee\u8d85\u8fc7\u67d0\u4e2a\u9608\u503c\uff0c\u5c31\u8ba4\u4e3a\u8bbe\u5907\u72b6\u6001\u53ef\u80fd\u53d1\u751f\u5f02\u5e38\u3002<\/strong><\/p>\n<\/blockquote>\n\n\n\n

\u8fd9\u662f\u4e00\u79cd\u5178\u578b\u7684\u201c\u53ea\u5b66\u4e60\u6b63\u5e38\u72b6\u6001\u201d\u7684\u5f02\u5e38\u68c0\u6d4b\u65b9\u6cd5\u3002<\/p>\n\n\n\n

\u7c7b\u4f3c\u65b9\u6cd5\u8fd8\u5305\u62ecIsolation Forest\u3001One-Class SVM\u3001Deep SVDD\u548cVariational Autoencoder\u7b49\u3002<\/p>\n\n\n\n

\n\n\n\n

\u5341\u4e8c\u3001\u5de5\u4e1aAI\u771f\u6b63\u56f0\u96be\u7684\u5730\u65b9\uff0c\u5f80\u5f80\u4e0d\u662f\u6a21\u578b\uff0c\u800c\u662f\u6545\u969c\u6837\u672c\u4e0d\u8db3<\/h1>\n\n\n\n

\u5728\u5b9e\u9a8c\u5ba4\u4e2d\uff0c\u53ef\u4ee5\u4eba\u4e3a\u5236\u9020\u8f74\u627f\u635f\u4f24\u3001\u4e0d\u5e73\u8861\u3001\u4e0d\u5bf9\u4e2d\u6216\u8005\u9f7f\u8f6e\u7f3a\u9677\uff0c\u56e0\u6b64\u53ef\u4ee5\u83b7\u5f97\u5927\u91cf\u6545\u969c\u6570\u636e\u3002<\/p>\n\n\n\n

\u4f46\u771f\u5b9e\u5de5\u5382\u5b8c\u5168\u4e0d\u540c\u3002<\/p>\n\n\n\n

\u5bf9\u4e8e\u5173\u952e\u8bbe\u5907\u800c\u8a00\uff1a<\/p>\n\n\n\n

\u4e25\u91cd\u6545\u969c\u672c\u8eab\u5c31\u662f\u4f4e\u6982\u7387\u4e8b\u4ef6\u3002<\/strong><\/p>\n\n\n\n

\u8fd9\u5c31\u5bfc\u81f4\u4e00\u4e2a\u975e\u5e38\u5178\u578b\u7684\u95ee\u9898\uff1a<\/p>\n\n\n\n

\u6b63\u5e38\u6570\u636e\u53ef\u80fd\u6709\u51e0\u767e\u4e07\u6761\uff0c\u800c\u67d0\u4e00\u79cd\u771f\u5b9e\u6545\u969c\u53ea\u6709\u51e0\u5341\u6b21\u3002<\/p>\n\n\n\n

\u56e0\u6b64\uff0c\u4e00\u4e2a\u6a21\u578b\u5373\u4f7f\u5728\u5b9e\u9a8c\u5ba4\u6d4b\u8bd5\u96c6\u4e0a\u8fbe\u523099%\u7684\u51c6\u786e\u7387\uff0c\u4e5f\u4e0d\u610f\u5473\u7740\u5230\u4e86\u771f\u5b9e\u5de5\u5382\u4ecd\u7136\u80fd\u591f\u4fdd\u6301\u540c\u6837\u6027\u80fd\u3002<\/p>\n\n\n\n

\u66f4\u9ebb\u70e6\u7684\u662f\uff0c\u8bbe\u5907\u8fd0\u884c\u5de5\u51b5\u8fd8\u4f1a\u53d8\u5316\uff1a<\/p>\n\n\n\n

\u4e0d\u540c\u8f6c\u901f\u3001\u4e0d\u540c\u8d1f\u8f7d\u3001\u4e0d\u540c\u6e29\u5ea6\u3001\u4e0d\u540c\u8bbe\u5907\u578b\u53f7\u3001\u4e0d\u540c\u5b89\u88c5\u6761\u4ef6\uff0c\u751a\u81f3\u4f20\u611f\u5668\u5b89\u88c5\u4f4d\u7f6e\u53d8\u5316\uff0c\u90fd\u53ef\u80fd\u6539\u53d8\u6570\u636e\u5206\u5e03\u3002<\/p>\n\n\n\n

\u8fd9\u79cd\u73b0\u8c61\u901a\u5e38\u88ab\u79f0\u4e3a\uff1a<\/p>\n\n\n\n

Domain Shift\uff0c\u4e5f\u5c31\u662f\u6570\u636e\u57df\u53d1\u751f\u4e86\u53d8\u5316\u3002<\/strong><\/p>\n\n\n\n

\u56e0\u6b64\uff0c\u5b9e\u9645\u5de5\u4e1a\u9879\u76ee\u8d8a\u6765\u8d8a\u9700\u8981\uff1a<\/p>\n\n\n\n

\u8fc1\u79fb\u5b66\u4e60\u3001\u9886\u57df\u81ea\u9002\u5e94\u548c\u81ea\u76d1\u7763\u5b66\u4e60\u3002<\/p>\n\n\n\n

\n\n\n\n

\u5341\u4e09\u3001\u81ea\u76d1\u7763\u5b66\u4e60\u53ef\u80fd\u6bd4\u201c\u76f4\u63a5\u4e0aTransformer\u201d\u66f4\u52a0\u91cd\u8981<\/h1>\n\n\n\n

\u5de5\u4e1a\u4f01\u4e1a\u771f\u6b63\u62e5\u6709\u7684\u5927\u91cf\u6570\u636e\u5f80\u5f80\u662f\uff1a<\/p>\n\n\n\n

\u6ca1\u6709\u6807\u7b7e\u7684\u8fd0\u884c\u6570\u636e\u3002<\/strong><\/p>\n\n\n\n

\u4f8b\u5982\u4e00\u53f0\u8bbe\u5907\u53ef\u80fd\u5df2\u7ecf\u8fde\u7eed\u91c7\u96c6\u4e86\u4e00\u5e74\u632f\u52a8\u6570\u636e\uff0c\u4f46\u771f\u6b63\u7ecf\u8fc7\u5de5\u7a0b\u5e08\u786e\u8ba4\u5e76\u6807\u6ce8\u7684\u6545\u969c\u6837\u672c\u975e\u5e38\u6709\u9650\u3002<\/p>\n\n\n\n

\u5982\u679c\u53ea\u91c7\u7528\u4f20\u7edf\u76d1\u7763\u5b66\u4e60\uff0c\u5927\u91cf\u6b63\u5e38\u8fd0\u884c\u6570\u636e\u5b9e\u9645\u4e0a\u6ca1\u6709\u88ab\u5145\u5206\u5229\u7528\u3002<\/p>\n\n\n\n

\u81ea\u76d1\u7763\u5b66\u4e60\u7684\u57fa\u672c\u601d\u8def\u662f\uff1a<\/p>\n\n\n\n

\u5148\u4e0d\u7ed9\u6570\u636e\u8d34\u6545\u969c\u6807\u7b7e\uff0c\u800c\u8ba9\u6a21\u578b\u901a\u8fc7\u5176\u4ed6\u4efb\u52a1\u5b66\u4e60\u8bbe\u5907\u8fd0\u884c\u89c4\u5f8b\u3002<\/p>\n\n\n\n

\u4f8b\u5982\u968f\u673a\u906e\u6389\u4e00\u90e8\u5206\u4fe1\u53f7\uff1ax<\/mi>1<\/mn><\/msub>,<\/mo>x<\/mi>2<\/mn><\/msub>,<\/mo>?<\/mo><\/mstyle><\/mstyle><\/mstyle><\/menclose>,<\/mo>x<\/mi>4<\/mn><\/msub>,<\/mo>x<\/mi>5<\/mn><\/msub><\/mrow>x_1,x_2,\\boxed{?},x_4,x_5<\/annotation><\/semantics><\/math><\/p>\n\n\n\n

\u7136\u540e\u8ba9\u6a21\u578b\u9884\u6d4b\u88ab\u906e\u6321\u7684\u90a3\u4e2a\u4f4d\u7f6e\u3002<\/p>\n\n\n\n

\u8fd9\u4e2a\u4efb\u52a1\u770b\u8d77\u6765\u7b80\u5355\uff0c\u4f46\u6a21\u578b\u4e3a\u4e86\u9884\u6d4b\u7f3a\u5931\u6570\u636e\uff0c\u5c31\u5fc5\u987b\u9010\u6e10\u7406\u89e3\uff1a<\/p>\n\n\n\n

\u8bbe\u5907\u6b63\u5e38\u8fd0\u884c\u4fe1\u53f7\u5185\u90e8\u5230\u5e95\u5b58\u5728\u4ec0\u4e48\u89c4\u5f8b\u3002<\/p>\n\n\n\n

\u5b8c\u6210\u5927\u91cf\u65e0\u76d1\u7763\u9884\u8bad\u7ec3\u4ee5\u540e\uff0c\u518d\u4f7f\u7528\u5c11\u91cf\u6709\u6807\u7b7e\u6545\u969c\u6570\u636e\u8fdb\u884c\u5fae\u8c03\u3002<\/p>\n\n\n\n

\u4e8e\u662f\u5f62\u6210\uff1a<\/p>\n\n\n\n

\u5927\u91cf\u65e0\u6807\u7b7e\u6570\u636e\u9884\u8bad\u7ec3 \u2192 \u5c11\u91cf\u6807\u6ce8\u6570\u636e\u5fae\u8c03 \u2192 \u6545\u969c\u8bc6\u522b<\/strong><\/p>\n\n\n\n

\u8fd9\u4e0e\u4eca\u5929\u5927\u8bed\u8a00\u6a21\u578b\u7684\u201c\u9884\u8bad\u7ec3 + \u5fae\u8c03\u201d\u601d\u60f3\u975e\u5e38\u76f8\u4f3c\u3002<\/p>\n\n\n\n

\n\n\n\n

\u5341\u56db\u3001\u4e0d\u540cAI\u6a21\u578b\u5982\u4f55\u6bd4\u8f83\uff1f<\/h1>\n\n\n\n

\u4e0b\u9762\u7ed9\u51fa\u4e00\u4e2a\u66f4\u504f\u5de5\u7a0b\u5e94\u7528\u7684\u7efc\u5408\u6bd4\u8f83\u3002<\/p>\n\n\n\n

\u6a21\u578b<\/th>\u9002\u5408\u7684\u6570\u636e<\/th>\u5c0f\u6837\u672c\u80fd\u529b<\/th>\u65f6\u95f4\u5efa\u6a21<\/th>\u539f\u59cb\u4fe1\u53f7\u80fd\u529b<\/th>\u53ef\u89e3\u91ca\u6027<\/th>\u8ba1\u7b97\u91cf<\/th>\u8fb9\u7f18\u90e8\u7f72<\/th><\/tr><\/thead>
LightGBM<\/td>\u4eba\u5de5\u63d0\u53d6\u7279\u5f81<\/td>\u5f88\u5f3a<\/td>\u8f83\u5f31<\/td>\u8f83\u5f31<\/td>\u5f88\u5f3a<\/td>\u5f88\u4f4e<\/td>\u5f88\u9002\u5408<\/td><\/tr>
XGBoost<\/td>\u4eba\u5de5\u63d0\u53d6\u7279\u5f81<\/td>\u5f88\u5f3a<\/td>\u8f83\u5f31<\/td>\u8f83\u5f31<\/td>\u5f88\u5f3a<\/td>\u4f4e<\/td>\u5f88\u9002\u5408<\/td><\/tr>
SVM<\/td>\u4e2d\u5c0f\u89c4\u6a21\u7279\u5f81<\/td>\u5f88\u5f3a<\/td>\u8f83\u5f31<\/td>\u4e00\u822c<\/td>\u4e2d\u7b49<\/td>\u4f4e<\/td>\u9002\u5408<\/td><\/tr>
1D CNN<\/td>\u632f\u52a8\u3001\u7535\u6d41\u3001\u58f0\u97f3<\/td>\u4e2d\u7b49<\/td>\u4e2d\u7b49<\/td>\u5f88\u5f3a<\/td>\u4e2d\u7b49<\/td>\u4e2d\u7b49<\/td>\u5f88\u9002\u5408<\/td><\/tr>
ResNet<\/td>\u539f\u59cb\u65f6\u95f4\u5e8f\u5217<\/td>\u4e2d\u7b49<\/td>\u4e2d\u7b49<\/td>\u5f88\u5f3a<\/td>\u4e2d\u7b49<\/td>\u4e2d\u7b49<\/td>\u9002\u5408<\/td><\/tr>
InceptionTime<\/td>\u591a\u5c3a\u5ea6\u65f6\u95f4\u5e8f\u5217<\/td>\u4e2d\u7b49<\/td>\u8f83\u5f3a<\/td>\u5f88\u5f3a<\/td>\u4e2d\u7b49<\/td>\u4e2d\u7b49<\/td>\u9002\u5408<\/td><\/tr>
LSTM<\/td>\u72b6\u6001\u6f14\u5316\u5e8f\u5217<\/td>\u4e2d\u7b49<\/td>\u5f88\u5f3a<\/td>\u4e00\u822c<\/td>\u8f83\u5f31<\/td>\u4e2d\u7b49<\/td>\u4e00\u822c<\/td><\/tr>
CNN-LSTM<\/td>\u9ad8\u9891\u4fe1\u53f7+\u8fc7\u7a0b\u53d8\u5316<\/td>\u4e2d\u7b49<\/td>\u5f88\u5f3a<\/td>\u5f88\u5f3a<\/td>\u8f83\u5f31<\/td>\u8f83\u9ad8<\/td>\u4e00\u822c<\/td><\/tr>
TCN<\/td>\u957f\u65f6\u95f4\u5e8f\u5217<\/td>\u4e2d\u7b49<\/td>\u5f88\u5f3a<\/td>\u5f88\u5f3a<\/td>\u4e2d\u7b49<\/td>\u4e2d\u7b49<\/td>\u5f88\u9002\u5408<\/td><\/tr>
Transformer<\/td>\u5927\u89c4\u6a21\u591a\u53d8\u91cf\u5e8f\u5217<\/td>\u8f83\u5f31<\/td>\u5f88\u5f3a<\/td>\u5f88\u5f3a<\/td>\u8f83\u5f31<\/td>\u9ad8<\/td>\u8f83\u96be<\/td><\/tr>
Autoencoder<\/td>\u6b63\u5e38\u6570\u636e\u4e3a\u4e3b<\/td>\u5f88\u5f3a<\/td>\u4e2d\u7b49<\/td>\u5f88\u5f3a<\/td>\u4e2d\u7b49<\/td>\u4e2d\u7b49<\/td>\u9002\u5408<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

\u8fd9\u4e2a\u8868\u5e76\u4e0d\u662f\u7406\u8bba\u6392\u540d\uff0c\u800c\u662f\u4ece\u4e00\u822c\u5de5\u4e1a\u8bbe\u5907\u9879\u76ee\u7684\u5de5\u7a0b\u89d2\u5ea6\u8fdb\u884c\u6bd4\u8f83\u3002<\/p>\n\n\n\n

\n\n\n\n

\u5341\u4e94\u3001\u4ec0\u4e48\u60c5\u51b5\u4e0b\u5e94\u8be5\u4f18\u5148\u9009\u62e9LightGBM\uff1f<\/h1>\n\n\n\n

\u5982\u679c\u5df2\u7ecf\u6709\u6210\u719f\u7684\u4fe1\u53f7\u5904\u7406\u65b9\u6cd5\uff0c\u5e76\u4e14\u6570\u636e\u89c4\u6a21\u6709\u9650\uff0c\u90a3\u4e48\u4f18\u5148\u9009\u62e9\uff1a<\/p>\n\n\n\n

LightGBM\u6216XGBoost\u3002<\/strong><\/p>\n\n\n\n

\u4f8b\u5982\u7cfb\u7edf\u5df2\u7ecf\u80fd\u591f\u63d0\u53d6\uff1a<\/p>\n\n\n\n

\u632f\u52a8RMS\u3001\u5ced\u5ea6\u3001\u5cf0\u503c\u3001\u9891\u5e26\u80fd\u91cf\u3001\u7535\u6d41RMS\u3001\u6e29\u5ea6\u53d8\u5316\u7387\u3001\u538b\u529b\u6ce2\u52a8\u7b49\u7279\u5f81\u3002<\/p>\n\n\n\n

\u90a3\u4e48\u4f7f\u7528LightGBM\u8fdb\u884c\u5206\u7c7b\u5f80\u5f80\u53ef\u4ee5\u5f88\u5feb\u5efa\u7acb\u4e00\u4e2a\u9ad8\u8d28\u91cf\u57fa\u51c6\u6a21\u578b\u3002<\/p>\n\n\n\n

\u5b83\u8fd8\u6709\u4e00\u4e2a\u975e\u5e38\u5927\u7684\u5de5\u7a0b\u4f18\u52bf\uff1a<\/p>\n\n\n\n

\u6a21\u578b\u6548\u679c\u4e0d\u597d\u65f6\uff0c\u5f88\u5bb9\u6613\u5206\u6790\u539f\u56e0\u3002<\/strong><\/p>\n\n\n\n

\u5982\u679c\u53d1\u73b0\u67d0\u4e9b\u7279\u5f81\u8d21\u732e\u6781\u4f4e\uff0c\u53ef\u4ee5\u91cd\u65b0\u8bbe\u8ba1\u7279\u5f81\uff1b\u5982\u679c\u6a21\u578b\u8fc7\u5ea6\u4f9d\u8d56\u67d0\u4e2a\u8f6c\u901f\u53c2\u6570\uff0c\u4e5f\u53ef\u4ee5\u53ca\u65f6\u53d1\u73b0\u3002<\/p>\n\n\n\n

\u56e0\u6b64\uff0cLightGBM\u7279\u522b\u9002\u5408\u9879\u76ee\u65e9\u671f\u3002<\/p>\n\n\n\n

\n\n\n\n

\u5341\u516d\u3001\u4ec0\u4e48\u60c5\u51b5\u4e0b\u5e94\u8be5\u9009\u62e9CNN\uff1f<\/h1>\n\n\n\n

\u5982\u679c\u62e5\u6709\u5927\u91cf\u539f\u59cb\u632f\u52a8\u3001\u7535\u6d41\u6216\u8005\u58f0\u97f3\u6570\u636e\uff0c\u800c\u4e14\u5e0c\u671b\u51cf\u5c11\u4eba\u5de5\u7279\u5f81\u5de5\u7a0b\uff0c\u90a3\u4e48\uff1a<\/p>\n\n\n\n

1D CNN \/ ResNet \/ InceptionTime<\/strong><\/p>\n\n\n\n

\u901a\u5e38\u5e94\u8be5\u6210\u4e3a\u4e3b\u529b\u6a21\u578b\u3002<\/p>\n\n\n\n

\u5c24\u5176\u5bf9\u4e8e\u8f74\u627f\u3001\u9f7f\u8f6e\u3001\u7535\u673a\u3001\u6cf5\u3001\u98ce\u673a\u3001\u538b\u7f29\u673a\u7b49\u65cb\u8f6c\u8bbe\u5907\uff0c\u9ad8\u9891\u632f\u52a8\u4fe1\u53f7\u4e2d\u7684\u51b2\u51fb\u548c\u5468\u671f\u7279\u5f81\u975e\u5e38\u9002\u5408\u5377\u79ef\u7f51\u7edc\u63d0\u53d6\u3002<\/p>\n\n\n\n

\u5982\u679c\u65f6\u9891\u7ed3\u6784\u7279\u522b\u91cd\u8981\uff0c\u5219\u53ef\u4ee5\u8fdb\u4e00\u6b65\u8003\u8651\uff1a<\/p>\n\n\n\n

STFT \/ \u5c0f\u6ce2\u53d8\u6362 + 2D CNN\u3002<\/strong><\/p>\n\n\n\n

\n\n\n\n

\u5341\u4e03\u3001\u4ec0\u4e48\u60c5\u51b5\u4e0b\u5e94\u8be5\u9009\u62e9LSTM\u6216TCN\uff1f<\/h1>\n\n\n\n

\u5982\u679c\u6545\u969c\u4e0d\u662f\u7531\u67d0\u4e00\u4e2a\u77ac\u95f4\u51b3\u5b9a\uff0c\u800c\u4e0e\u6574\u4e2a\u52a8\u4f5c\u8fc7\u7a0b\u6709\u5173\uff0c\u90a3\u4e48\u9700\u8981\u52a0\u5f3a\u65f6\u95f4\u5efa\u6a21\u80fd\u529b\u3002<\/p>\n\n\n\n

\u4f8b\u5982\uff1a<\/p>\n\n\n\n

\u9600\u95e8\u5f00\u542f\u8fc7\u7a0b\u3001\u7535\u68af\u95e8\u5f00\u95ed\u8fc7\u7a0b\u3001\u673a\u68b0\u81c2\u4e00\u6b21\u52a8\u4f5c\u8fc7\u7a0b\u3001\u7535\u673a\u542f\u52a8\u8fc7\u7a0b\u3001\u6cf5\u542f\u52a8\u5230\u7a33\u5b9a\u8fd0\u884c\u8fc7\u7a0b\u3002<\/p>\n\n\n\n

\u8fd9\u79cd\u60c5\u51b5\u4e0b\u63a8\u8350\u6bd4\u8f83\uff1a<\/p>\n\n\n\n

CNN-LSTM\u548cCNN-TCN\u3002<\/strong><\/p>\n\n\n\n

\u5176\u4e2dCNN\u8d1f\u8d23\u56de\u7b54\uff1a<\/p>\n\n\n\n

\n

\u5f53\u524d\u4fe1\u53f7\u91cc\u51fa\u73b0\u4e86\u4ec0\u4e48\u7279\u5f81\uff1f<\/p>\n<\/blockquote>\n\n\n\n

LSTM\u6216TCN\u8d1f\u8d23\u56de\u7b54\uff1a<\/p>\n\n\n\n

\n

\u8fd9\u4e9b\u7279\u5f81\u5728\u6574\u4e2a\u8fd0\u884c\u8fc7\u7a0b\u4e2d\u662f\u600e\u6837\u6f14\u53d8\u7684\uff1f<\/p>\n<\/blockquote>\n\n\n\n

\u4ece\u5de5\u4e1a\u8fb9\u7f18\u90e8\u7f72\u89d2\u5ea6\u770b\uff0cTCN\u5c24\u5176\u503c\u5f97\u91cd\u70b9\u6d4b\u8bd5\u3002<\/p>\n\n\n\n

\n\n\n\n

\u5341\u516b\u3001\u4ec0\u4e48\u65f6\u5019\u624d\u5e94\u8be5\u8ba4\u771f\u8003\u8651Transformer\uff1f<\/h1>\n\n\n\n

\u5982\u679c\u4f01\u4e1a\u5df2\u7ecf\u8fdb\u5165\u6bd4\u8f83\u6210\u719f\u7684\u6570\u636e\u9636\u6bb5\uff0c\u4f8b\u5982\u62e5\u6709\uff1a<\/p>\n\n\n\n

\u5927\u91cf\u8bbe\u5907\u3001\u591a\u79cd\u4f20\u611f\u5668\u3001\u5927\u91cf\u5386\u53f2\u8fd0\u884c\u6570\u636e\u3001\u6bd4\u8f83\u5b8c\u6574\u7684\u6807\u7b7e\u4f53\u7cfb\uff0c\u5e76\u4e14\u5e0c\u671b\u5efa\u7acb\u8de8\u8bbe\u5907\u3001\u8de8\u5de5\u51b5\u7684\u7edf\u4e00\u6a21\u578b\uff0c<\/p>\n\n\n\n

\u90a3\u4e48Transformer\u4f1a\u8d8a\u6765\u8d8a\u503c\u5f97\u8003\u8651\u3002<\/p>\n\n\n\n

\u66f4\u52a0\u8fdb\u4e00\u6b65\u7684\u65b9\u5411\u751a\u81f3\u4e0d\u662f\u8bad\u7ec3\u4e00\u4e2a\u201c\u6545\u969c\u5206\u7c7bTransformer\u201d\uff0c\u800c\u662f\u5efa\u7acb\uff1a<\/p>\n\n\n\n

\u8bbe\u5907\u8fd0\u884c\u57fa\u7840\u6a21\u578b\u3002<\/strong><\/p>\n\n\n\n

\u8ba9\u6a21\u578b\u9996\u5148\u5b66\u4e60\u5927\u91cf\u8bbe\u5907\u6b63\u5e38\u4e0e\u5f02\u5e38\u8fd0\u884c\u6570\u636e\uff0c\u518d\u9488\u5bf9\u5177\u4f53\u4efb\u52a1\u8fdb\u884c\u5fae\u8c03\u3002<\/p>\n\n\n\n

\u8fd9\u79cd\u6a21\u5f0f\u53ef\u80fd\u9010\u6e10\u53d1\u5c55\u6210\u4e3a\u5de5\u4e1a\u9886\u57df\u7684\uff1a<\/p>\n\n\n\n

Equipment Foundation Model\u3002<\/strong><\/p>\n\n\n\n

\u4f46\u5bf9\u4e8e\u53ea\u6709\u4e00\u53f0\u8bbe\u5907\u3001\u51e0\u5343\u4e2a\u6837\u672c\u7684\u9879\u76ee\uff0c\u6ca1\u6709\u5fc5\u8981\u4e3a\u4e86\u4f7f\u7528Transformer\u800c\u4f7f\u7528Transformer\u3002<\/p>\n\n\n\n

\n\n\n\n

\u5341\u4e5d\u3001\u5b9e\u9645\u5de5\u4e1a\u9879\u76ee\u63a8\u8350\u91c7\u7528\u201c\u53cc\u8def\u7ebf\u751a\u81f3\u4e09\u8def\u7ebf\u201d<\/h1>\n\n\n\n

\u5982\u679c\u4ece\u4ea7\u54c1\u5316\u548c\u53ef\u9760\u6027\u89d2\u5ea6\u8003\u8651\uff0c\u6211\u66f4\u63a8\u8350\u540c\u65f6\u4fdd\u7559\u4e0d\u540c\u7c7b\u578b\u6a21\u578b\u3002<\/p>\n\n\n\n

\u7b2c\u4e00\u6761\u8def\u7ebf\u662f\uff1a<\/p>\n\n\n\n

\u4eba\u5de5\u7279\u5f81 \u2192 LightGBM<\/strong><\/p>\n\n\n\n

\u5b83\u4ee3\u8868\u5de5\u7a0b\u77e5\u8bc6\u8def\u7ebf\u3002<\/p>\n\n\n\n

\u7b2c\u4e8c\u6761\u8def\u7ebf\u662f\uff1a<\/p>\n\n\n\n

\u539f\u59cb\u4fe1\u53f7 \u2192 CNN \/ ResNet \/ TCN<\/strong><\/p>\n\n\n\n

\u5b83\u4ee3\u8868\u81ea\u52a8\u7279\u5f81\u5b66\u4e60\u8def\u7ebf\u3002<\/p>\n\n\n\n

\u5982\u679c\u5b58\u5728\u660e\u663e\u7684\u52a8\u4f5c\u5468\u671f\u6216\u8005\u957f\u671f\u72b6\u6001\u53d8\u5316\uff0c\u518d\u589e\u52a0\uff1a<\/p>\n\n\n\n

CNN \u2192 LSTM \/ TCN<\/strong><\/p>\n\n\n\n

\u6700\u540e\u53ef\u4ee5\u878d\u5408\u4e0d\u540c\u6a21\u578b\u7684\u8f93\u51fa\u3002<\/p>\n\n\n\n

\u8fd9\u79cd\u67b6\u6784\u7684\u6700\u5927\u610f\u4e49\u5728\u4e8e\uff1a<\/p>\n\n\n\n

\u4eba\u5de5\u7ecf\u9a8c\u548cAI\u81ea\u52a8\u5b66\u4e60\u5e76\u4e0d\u662f\u4e8c\u9009\u4e00\u3002<\/strong><\/p>\n\n\n\n

\u5de5\u7a0b\u4eba\u5458\u5df2\u7ecf\u77e5\u9053\u7684\u6545\u969c\u673a\u7406\uff0c\u53ef\u4ee5\u901a\u8fc7\u4eba\u5de5\u7279\u5f81\u660e\u786e\u63d0\u4f9b\u7ed9LightGBM\uff1b<\/p>\n\n\n\n

\u5de5\u7a0b\u4eba\u5458\u5c1a\u672a\u53d1\u73b0\u7684\u590d\u6742\u6ce2\u5f62\u6a21\u5f0f\uff0c\u53ef\u4ee5\u8ba9CNN\u81ea\u52a8\u5b66\u4e60\u3002<\/p>\n\n\n\n

\u4e24\u8005\u7ed3\u5408\uff0c\u901a\u5e38\u6bd4\u5b8c\u5168\u4f9d\u8d56\u4e00\u4e2a\u9ed1\u7bb1\u6a21\u578b\u66f4\u52a0\u53ef\u9760\u3002<\/p>\n\n\n\n

\n\n\n\n

\u4e8c\u5341\u3001\u8bc4\u4ef7\u6a21\u578b\u65f6\uff0cAccuracy\u8fdc\u8fdc\u4e0d\u591f<\/h1>\n\n\n\n

\u5047\u8bbe\u4e00\u4e2a\u8bbe\u590710000\u6b21\u8fd0\u884c\u4e2d\u53ea\u6709100\u6b21\u771f\u6b63\u6545\u969c\u3002<\/p>\n\n\n\n

\u5982\u679c\u6a21\u578b\u628a\u6240\u6709\u6570\u636e\u90fd\u9884\u6d4b\u6210\u201c\u6b63\u5e38\u201d\uff0c\u90a3\u4e48\u51c6\u786e\u7387\u4ecd\u7136\u53ef\u4ee5\u8fbe\u5230\uff1aA<\/mi>c<\/mi>c<\/mi>u<\/mi>r<\/mi>a<\/mi>c<\/mi>y<\/mi>=<\/mo>9900<\/mn>10000<\/mn><\/mfrac>=<\/mo>99<\/mn>%<\/mi><\/mrow>Accuracy=\\frac{9900}{10000}=99\\%<\/annotation><\/semantics><\/math><\/p>\n\n\n\n

\u4f46\u8fd9\u4e2a\u6a21\u578b\u5b9e\u9645\u4e0a\u4e00\u4e2a\u6545\u969c\u90fd\u6ca1\u6709\u8bc6\u522b\u51fa\u6765\u3002<\/p>\n\n\n\n

\u56e0\u6b64\uff0c\u5728\u8bbe\u5907\u6545\u969c\u8bc6\u522b\u4e2d\uff0c\u5355\u770bAccuracy\u975e\u5e38\u5371\u9669\u3002<\/p>\n\n\n\n

\u66f4\u52a0\u5e94\u8be5\u5173\u6ce8Recall\uff0c\u4e5f\u5c31\u662f\u6545\u969c\u53ec\u56de\u7387\uff1aR<\/mi>e<\/mi>c<\/mi>a<\/mi>l<\/mi>l<\/mi>=<\/mo>T<\/mi>P<\/mi><\/mrow>T<\/mi>P<\/mi>+<\/mo>F<\/mi>N<\/mi><\/mrow><\/mfrac><\/mrow>Recall= \\frac{TP}{TP+FN}<\/annotation><\/semantics><\/math><\/p>\n\n\n\n

\u5176\u4e2d\uff0cT<\/mi>P<\/mi><\/mrow>TP<\/annotation><\/semantics><\/math> \u8868\u793a\u6b63\u786e\u8bc6\u522b\u51fa\u7684\u6545\u969c\u6570\u91cf\uff0cF<\/mi>N<\/mi><\/mrow>FN<\/annotation><\/semantics><\/math> \u8868\u793a\u5b9e\u9645\u53d1\u751f\u4e86\u6545\u969c\u4f46\u6a21\u578b\u6ca1\u6709\u53d1\u73b0\u7684\u6570\u91cf\u3002<\/p>\n\n\n\n

\u901a\u4fd7\u5730\u8bf4\uff1a<\/p>\n\n\n\n

\n

\u771f\u6b63\u53d1\u751f\u7684100\u6b21\u6545\u969c\uff0c\u6a21\u578b\u5230\u5e95\u627e\u51fa\u4e86\u591a\u5c11\u6b21\uff1f<\/strong><\/p>\n<\/blockquote>\n\n\n\n

\u8fd8\u9700\u8981\u5173\u6ce8Precision\uff1aP<\/mi>r<\/mi>e<\/mi>c<\/mi>i<\/mi>s<\/mi>i<\/mi>o<\/mi>n<\/mi>=<\/mo>T<\/mi>P<\/mi><\/mrow>T<\/mi>P<\/mi>+<\/mo>F<\/mi>P<\/mi><\/mrow><\/mfrac><\/mrow>Precision= \\frac{TP}{TP+FP}<\/annotation><\/semantics><\/math><\/p>\n\n\n\n

\u5176\u4e2d F<\/mi>P<\/mi><\/mrow>FP<\/annotation><\/semantics><\/math> \u662f\u6a21\u578b\u8bef\u62a5\u7684\u6545\u969c\u3002<\/p>\n\n\n\n

\u5b83\u56de\u7b54\u7684\u662f\uff1a<\/p>\n\n\n\n

\n

\u6a21\u578b\u62a5\u544a100\u6b21\u6545\u969c\uff0c\u5176\u4e2d\u5230\u5e95\u6709\u591a\u5c11\u6b21\u771f\u7684\u53d1\u751f\u4e86\u6545\u969c\uff1f<\/strong><\/p>\n<\/blockquote>\n\n\n\n

\u5de5\u4e1a\u7cfb\u7edf\u5c24\u5176\u9700\u8981\u540c\u65f6\u5173\u6ce8\u4e24\u7c7b\u9519\u8bef\uff1a<\/p>\n\n\n\n

\u6f0f\u62a5\u548c\u8bef\u62a5\u3002<\/strong><\/p>\n\n\n\n

\u6f0f\u62a5\u53ef\u80fd\u5bfc\u81f4\u8bbe\u5907\u635f\u574f\uff1b<\/p>\n\n\n\n

\u8bef\u62a5\u8fc7\u591a\u5219\u53ef\u80fd\u5bfc\u81f4\u4eba\u5458\u9010\u6e10\u4e0d\u518d\u76f8\u4fe1\u7cfb\u7edf\u3002<\/p>\n\n\n\n

\u6240\u4ee5\u4e00\u4e2a\u771f\u6b63\u6210\u719f\u7684\u6a21\u578b\u8bc4\u4f30\u4f53\u7cfb\uff0c\u8fd8\u5e94\u8be5\u540c\u65f6\u6bd4\u8f83F1\u3001\u8bef\u62a5\u7387\u3001\u6f0f\u62a5\u7387\u3001\u63a8\u7406\u65f6\u95f4\u3001\u6a21\u578b\u5927\u5c0f\u4ee5\u53ca\u8de8\u5de5\u51b5\u548c\u8de8\u8bbe\u5907\u6cdb\u5316\u80fd\u529b\u3002<\/p>\n\n\n\n

\n\n\n\n

\u4e8c\u5341\u4e00\u3001\u5de5\u7a0b\u4e0a\u63a8\u8350\u7684\u6a21\u578b\u6f14\u8fdb\u8def\u7ebf<\/h1>\n\n\n\n

\u5982\u679c\u4e00\u4e2a\u8bbe\u5907\u667a\u80fd\u8bca\u65ad\u9879\u76ee\u4ece\u96f6\u5f00\u59cb\uff0c\u6211\u66f4\u5efa\u8bae\u91c7\u7528\u4e0b\u9762\u7684\u6280\u672f\u8def\u7ebf\uff1a<\/p>\n\n\n\n

\u7b2c\u4e00\u9636\u6bb5\uff1aLightGBM\u5efa\u7acb\u57fa\u7ebf\u3002<\/strong><\/p>\n\n\n\n

\u5148\u5229\u7528\u5df2\u6709\u5de5\u7a0b\u77e5\u8bc6\u5b8c\u6210\u7279\u5f81\u63d0\u53d6\uff0c\u7136\u540e\u4f7f\u7528LightGBM\u9a8c\u8bc1\uff1a<\/p>\n\n\n\n

\n

\u6570\u636e\u672c\u8eab\u5230\u5e95\u80fd\u4e0d\u80fd\u533a\u5206\u8fd9\u4e9b\u6545\u969c\uff1f<\/p>\n<\/blockquote>\n\n\n\n

\u5982\u679cLightGBM\u90fd\u53ea\u670960%\u7684\u51c6\u786e\u7387\uff0c\u5c31\u4e0d\u5e94\u8be5\u7acb\u5373\u8ba4\u4e3a\u6362\u6210Transformer\u53ef\u4ee5\u89e3\u51b3\u95ee\u9898\u3002\u9996\u5148\u5e94\u8be5\u68c0\u67e5\u4f20\u611f\u5668\u3001\u6570\u636e\u8d28\u91cf\u3001\u6545\u969c\u5b9a\u4e49\u548c\u6837\u672c\u6807\u7b7e\u3002<\/p>\n\n\n\n

\u7b2c\u4e8c\u9636\u6bb5\uff1a\u5f15\u5165CNN\u81ea\u52a8\u5b66\u4e60\u539f\u59cb\u4fe1\u53f7\u3002<\/strong><\/p>\n\n\n\n

\u5efa\u7acb\uff1a<\/p>\n\n\n\n

1D CNN\u3001ResNet\u6216\u8005InceptionTime\u3002<\/p>\n\n\n\n

\u7136\u540e\u6bd4\u8f83\uff1a<\/p>\n\n\n\n

\u4eba\u5de5\u7279\u5f81\u6a21\u578b vs \u539f\u59cb\u4fe1\u53f7\u6a21\u578b\u3002<\/strong><\/p>\n\n\n\n

\u53ea\u6709\u5f53\u6df1\u5ea6\u6a21\u578b\u771f\u6b63\u5e26\u6765\u7a33\u5b9a\u63d0\u5347\u65f6\uff0c\u590d\u6742\u5ea6\u589e\u52a0\u624d\u662f\u503c\u5f97\u7684\u3002<\/p>\n\n\n\n

\u7b2c\u4e09\u9636\u6bb5\uff1a\u589e\u52a0\u65f6\u95f4\u5efa\u6a21\u3002<\/strong><\/p>\n\n\n\n

\u5982\u679c\u8bbe\u5907\u5b58\u5728\u5b8c\u6574\u8fd0\u884c\u5468\u671f\uff0c\u53ef\u4ee5\u8fdb\u4e00\u6b65\u6d4b\u8bd5\uff1a<\/p>\n\n\n\n

CNN-LSTM\u548cCNN-TCN\u3002<\/p>\n\n\n\n

\u7b2c\u56db\u9636\u6bb5\uff1a\u89e3\u51b3\u6570\u636e\u7a00\u7f3a\u548c\u8de8\u5de5\u51b5\u95ee\u9898\u3002<\/strong><\/p>\n\n\n\n

\u5f15\u5165\uff1a<\/p>\n\n\n\n

Autoencoder\u3001\u81ea\u76d1\u7763\u5b66\u4e60\u3001\u8fc1\u79fb\u5b66\u4e60\u548cDomain Adaptation\u3002<\/p>\n\n\n\n

\u7b2c\u4e94\u9636\u6bb5\uff1aTransformer\u548c\u8bbe\u5907\u57fa\u7840\u6a21\u578b\u3002<\/strong><\/p>\n\n\n\n

\u53ea\u6709\u5f53\u6570\u636e\u89c4\u6a21\u3001\u591a\u8bbe\u5907\u89c4\u6a21\u548c\u4efb\u52a1\u590d\u6742\u5ea6\u771f\u6b63\u8fbe\u5230\u4e00\u5b9a\u6c34\u5e73\u4e4b\u540e\uff0c\u518d\u8003\u8651\u5efa\u8bbe\u5927\u578b\u7edf\u4e00\u65f6\u5e8f\u6a21\u578b\u3002<\/p>\n\n\n\n

\n\n\n\n

\u4e8c\u5341\u4e8c\u3001\u6700\u7ec8\u5efa\u8bae\uff1a\u8bbe\u5907\u6545\u969c\u8bc6\u522b\u4e0d\u5e94\u201c\u552f\u6a21\u578b\u8bba\u201d<\/h1>\n\n\n\n

\u5982\u679c\u5fc5\u987b\u7ed9\u51fa\u4e00\u4e2a\u6bd4\u8f83\u660e\u786e\u7684\u6a21\u578b\u9009\u62e9\u5efa\u8bae\uff0c\u90a3\u4e48\u53ef\u4ee5\u6982\u62ec\u4e3a\uff1a<\/p>\n\n\n\n

LightGBM\u662f\u6700\u503c\u5f97\u5efa\u7acb\u7684\u5de5\u7a0bBaseline\uff1bCNN\u4ecd\u7136\u662f\u632f\u52a8\u3001\u7535\u6d41\u3001\u58f0\u97f3\u7b49\u539f\u59cb\u4fe1\u53f7\u6545\u969c\u8bc6\u522b\u7684\u4e3b\u529b\u6a21\u578b\uff1bLSTM\u9002\u5408\u63cf\u8ff0\u8bbe\u5907\u72b6\u6001\u968f\u65f6\u95f4\u7684\u53d1\u5c55\u8fc7\u7a0b\uff1bTCN\u5728\u5f88\u591a\u5de5\u4e1a\u65f6\u95f4\u5e8f\u5217\u4efb\u52a1\u4e2d\u5177\u6709\u5f88\u9ad8\u7684\u6027\u80fd\u4e0e\u8ba1\u7b97\u6548\u7387\u5e73\u8861\uff1bTransformer\u66f4\u52a0\u9002\u5408\u5927\u89c4\u6a21\u3001\u591a\u4f20\u611f\u5668\u3001\u957f\u65f6\u95f4\u5e8f\u5217\u548c\u9884\u8bad\u7ec3\u573a\u666f\uff1bAutoencoder\u5219\u7279\u522b\u9002\u5408\u201c\u6b63\u5e38\u6570\u636e\u5f88\u591a\u3001\u6545\u969c\u6570\u636e\u5f88\u5c11\u201d\u7684\u5de5\u4e1a\u73b0\u5b9e\u3002<\/strong><\/p>\n\n\n\n

\u56e0\u6b64\uff0c\u5bf9\u4e8e\u591a\u6570\u8bbe\u5907\u6545\u969c\u8bc6\u522b\u9879\u76ee\uff0c\u7b2c\u4e00\u8f6e\u771f\u6b63\u503c\u5f97\u8fdb\u884c\u7684\u6a21\u578b\u5bf9\u7167\u5b9e\u9a8c\u4e0d\u662f\uff1a<\/p>\n\n\n\n

CNN vs LSTM vs Transformer\uff0c\u8c01\u6700\u5148\u8fdb\uff1f<\/strong><\/p>\n\n\n\n

\u800c\u5e94\u8be5\u662f\uff1a<\/p>\n\n\n\n

LightGBM vs 1D CNN \/ ResNet vs CNN-TCN\u3002<\/strong><\/p>\n\n\n\n

\u5982\u679c\u8bbe\u5907\u5177\u6709\u660e\u663e\u7684\u8fde\u7eed\u8fd0\u884c\u8fc7\u7a0b\uff0c\u518d\u589e\u52a0CNN-LSTM\u3002<\/p>\n\n\n\n

\u5982\u679c\u53ea\u6709\u5927\u91cf\u6b63\u5e38\u6570\u636e\uff0c\u5219\u540c\u65f6\u589e\u52a0Autoencoder\u5f02\u5e38\u68c0\u6d4b\u8def\u7ebf\u3002<\/p>\n\n\n\n

\u5982\u679c\u672a\u6765\u79ef\u7d2f\u4e86\u5927\u91cf\u591a\u8bbe\u5907\u3001\u591a\u5de5\u51b5\u3001\u957f\u5468\u671f\u8fd0\u884c\u6570\u636e\uff0c\u518d\u8fdb\u4e00\u6b65\u8fdb\u5165Transformer\u3001\u81ea\u76d1\u7763\u5b66\u4e60\u548c\u8bbe\u5907\u57fa\u7840\u6a21\u578b\u3002<\/p>\n\n\n\n

\u5f52\u6839\u5230\u5e95\uff0c\u8bbe\u5907\u6545\u969c\u8bc6\u522b\u771f\u6b63\u51b3\u5b9a\u6548\u679c\u7684\uff0c\u5f80\u5f80\u5e76\u4e0d\u662f\u6a21\u578b\u540d\u5b57\uff0c\u800c\u662f\uff1a<\/p>\n\n\n\n

\u4f20\u611f\u5668\u662f\u5426\u91c7\u5230\u4e86\u771f\u6b63\u53cd\u6620\u6545\u969c\u7684\u4fe1\u606f\u3001\u6570\u636e\u662f\u5426\u8986\u76d6\u771f\u5b9e\u5de5\u51b5\u3001\u6545\u969c\u6807\u7b7e\u662f\u5426\u53ef\u9760\u3001\u8bad\u7ec3\u96c6\u4e0e\u73b0\u573a\u6570\u636e\u662f\u5426\u5b58\u5728\u5206\u5e03\u5dee\u5f02\uff0c\u4ee5\u53ca\u6a21\u578b\u5728\u534a\u5e74\u3001\u4e00\u5e74\u4ee5\u540e\u8fd8\u80fd\u4e0d\u80fd\u4fdd\u6301\u7a33\u5b9a\u6548\u679c\u3002<\/strong><\/p>\n\n\n\n

\u56e0\u6b64\uff0c\u5de5\u4e1aAI\u6a21\u578b\u9009\u578b\u7684\u6838\u5fc3\u539f\u5219\u53ef\u4ee5\u6982\u62ec\u6210\u4e00\u53e5\u8bdd\uff1a<\/p>\n\n\n\n

\n

\u5148\u7528\u7b80\u5355\u6a21\u578b\u8bc1\u660e\u6570\u636e\u6709\u6548\uff0c\u518d\u7528\u6df1\u5ea6\u6a21\u578b\u51cf\u5c11\u4eba\u5de5\u7279\u5f81\uff1b\u5148\u89e3\u51b3\u8de8\u5de5\u51b5\u6cdb\u5316\uff0c\u518d\u8003\u8651\u66f4\u5927\u7684\u6a21\u578b\u3002<\/strong><\/p>\n<\/blockquote>\n\n\n\n

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